ranggaaprilio/Job-linked-test huggingface dataset:
Job Title: Data Engineer
Company: OPPO
Location: Palo Alto, CA
Description:
About the Role:

OPPO US Research Center is looking for a highly motivated Data Engineer. In this role, you will be responsible for designing and implementing robust data warehouse architectures, enabling data-driven decision-making through scalable systems that support real-time and batch processing. If you're passionate about building high-quality data pipelines and delivering actionable insights to drive business performance, we want to hear from you.

Key Responsibilities:


Design and develop data warehouse architecture and implement best practices in data governance and data asset access control
Build and maintain a comprehensive data system by deeply understanding business processes and providing both real-time data services and actionable data reports to support business operations
Research and implement technologies for both real-time and batch data processing in the big data domain, promoting their adoption in various business use cases
Collaborate closely with cross-functional teams to translate business needs into technical solutions, ensuring data reliability, quality, and timeliness



Requirements


Experience: 1-3 years of hands-on experience in data warehouse or big data development, with solid expertise in building both real-time and offline data pipelines
Proficiency in big data tools and frameworks such as Spark, Flink, and at least one of SQL dialects for big data
Strong understanding of data modeling concepts, especially dimensional modeling and data warehousing theory
Strong business understanding with the ability to quickly grasp the logic behind complex data systems
Excellent communication and collaboration skills, with a proactive attitude towards problem-solving



Preferred:


Data engineering experiences and business understanding in E-commerce area such as Amazon and Shopify



Benefits

OPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

The US base salary range for this full-time position is $80,000-$150,000 + bonus + long term incentives benefits. Our salary ranges are determined by role, level, and location.
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Job Title: Data Engineer I
Company: Clyde Companies, Inc.
Location: Orem, UT
Description:
JOB TITLE Data Engineer

JOB LOCATION Lindon, UT (This is an in office position)

REPORTS TO Data Engineering Manager

FUNCTION Under the direction of the Data Engineering Manager the Data Engineer will be responsible for developing and maintaining our data infrastructure while also providing technical leadership and guidance to junior team members. This role requires a strong understanding of data engineering principles and the ability to design and implement scalable solutions to complex data challenges.

KEY ACTIVITIES


Lead the design, development, and maintenance of scalable and reliable data pipelines.
Build dimensional data models with conformed dimensions that mirror business processes
Collaborate with cross-functional teams to gather and analyze data requirements, and propose technical solutions.
Implement data governance and data management best practices.
Optimize data workflows, ensuring data quality, integrity, and availability.
Mentor and provide technical guidance to junior data engineers.
Stay up to date with emerging technologies and industry trends in data engineering.
Identify opportunities for process improvement and automation in data engineering workflows.
Collaborate with data scientists and analysts to support their data needs.



KNOWLEDGE AND SKILLS


Familiarity with big data processing frameworks such as Azure DataBricks, Azure Blob Storage, Azure Data Factory, Microsoft Fabric Technologies.
Knowledge of data integration and ETL tools.
Hands on experiences with cloud platforms (e.g., AWS, Azure, GCP) and their data services.
Strong problem-solving and analytical skills.
Expert in Dimensional Data Modeling
Excellent communication and leadership abilities.
Ability to learn new technologies and concepts quickly.
Strong programming skills in languages such as Python, Java, or Scala.
Strong knowledge of SQL and experience working with different types of databases (relational, NoSQL, etc.).
Experience with SSIS or similar ETL tools.
Experience with Cloud computing technologies.



EDUCATION/EXPERIENCE


Bachelor’s degree in Information Systems, Computer Science, Statistics, or related field.
3+ years of modeling and ETL development experience.
3+ years of data engineering experience.



PHYSICAL REQUIREMENTS


Sedentary work, requiring lifting up to 10lbs.
Repetitive motion associated with operating a computer and other office equipment.
Inside, climate-controlled working conditions.
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Job Title: Data Engineer
Company: Alibaba Cloud
Location: Los Angeles, CA
Description:
Job Description

Collaborate with BI teams to manage ETL processes to support data integration and transformation.
Assist BI teams in performing raw data organization, desensitization, deduplication and governance to ensure data management timeliness, completeness, consistency and accuracy
Implement cloud services(AWS) to achieve data management and data access control, data auditing, and other functions.
Provide data query support for CS,UA teams etc.
Continuously assist the company in evaluating and adopting the most suitable technologies for the organization’s data engineering needs to align with the latest compliance requirements in data management.
Document processes and maintain comprehensive data architecture records.




Required Skills

Experience in AWS cloud services for data storage, processing and data access control.
Experience in Python programming or Java/Scala for data processing.
Experience in building and maintaining data pipelines with tools like Apache Dolphin, or custom scripts would be a plus.
Understanding of data security and privacy standards.
Effective communication and coordination abilities.
Mandarin would be a plus.




Preferred Skills

Strong proficiency in writing complex SQL (and similar) queries and optimize performance.

Data Management Engineer

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Job Title: Data / BI Engineer
Company: Veracity Software Inc
Location: California, United States
Description:
Job Title: Data / BI Engineer

Duration: 24 months

Location: Charlotte, NC - Hybrid Role

Job Descriptions:

Data/BI Engineer


Skill Sets/Tools & Technologies - Skill Sets/Tools & Technologies - Python, Pyspark, ETL(SSIS Preferred), SQL Server, Power BI, Autosys JIL, Trade Surveillance Domain Knowledge(Optional but nice to have), Gen AI Tools Exposure(optional and nice to have)


Top Skills:

5+ years combined of:

Top level:


Python
Power BI expert


Secondary Skills:


Pyspark
SSIS
AutoSys or equivalent scheduling tool
Agile/Jira


Detailed Job duties:


Lead complex technology initiatives within Trade Surveillance Data Engineering team.
Act as a key participant in developing standards and companywide best practices for engineering complex and large-scale technology solutions for technology engineering disciplines.
Design, code, test, debug, and document for projects and programs.
Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in—depth evaluation of multiple factors, including intangibles or unprecedented technical factors.
Design ETL packages to move data from various sources preferably from Flat files, ISON, Oracle and experience with FTP and NDM.
The Beneficiary will be using Python, SQL Server, SSIS, Autosys JIL (Job Information Language) Commands, Agile methodologies, Tableau, Power BI
The Beneficiary will maintain thorough and accurate documentation on all systems and adhere to testing and documentation standards.
Ensure that quality standards and procedures are maintained, while also obtaining a thorough understanding of the project's goals and business functionality.
Help formulate test plans outlining steps required to test systems, using structured analysis and design, and submit plans to management for approval and implementation.
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Job Title: Data Engineer
Company: Leader Bank
Location: United States
Description:
Description

Leader Bank is looking for exceptionally dedicated team members to join one of the region’s fastest growing community banks and mortgage lenders. At the time of its founding in 2002, Leader Bank had one branch office, $6.5 million in assets and 7 team members. Since then, the Bank has become one of the most successful banks in Massachusetts with $4.5 billion in assets, more than 400 team members, 7 branch offices, and annual mortgage originations of over $2 billion.

Exemplary products and an innovative spirit have driven Leader Bank’s rapid growth over the years, and our team members embrace these values. Our mission is to obsess over our clients, make them feel valued, and maintain long-term relationships with them by constantly enhancing our products and processes to always improve our client experience. For our team members, Leader Bank prioritizes competitive compensation and benefits, a healthy work-life balance, and an environment that fosters diversity and inclusion.

Responsibilities


Write and maintain efficient data pipelines and ETL processes
Assemble, prepare, and analyze large data sets
Implement methods to improve data reliability, quality, and security
Identify opportunities for data enrichment
Develop analytic tools, programs, and reports
Build and enhance data models that align with business outcomes
Maintain our data stack


Qualifications


Bachelor of Science in Data Engineering or related area of study
Experience in designing databases, warehouses, and analytical system
Experience with Snowflake, Matillion, Retool is a plus
Experience deploying machine learning models is a plus
Advanced SQL skills, proficient in Python
Passion for problem solving


Leader Bank offers an excellent compensation and benefits package including 401k plan with corporate match, medical and dental insurance, and the opportunity to work for a fast growing, local organization.

Leader Bank, N.A. is an Equal Opportunity and Affirmative Action employer and does not discriminate on the basis of race, color, religion, age, gender, marital status, sexual orientation, national origin, disability, military status, veteran status, or any other protected class.

Leader Bank is an E-Verify® participant.* For more information, click on the links below:


E-Verify® is a registered trademark of U.S. Department of Homeland Security
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Job Title: Software/AI Engineer (New Grad)
Company: FurtherAI
Location: San Francisco, CA
Description:
FurtherAI

AI Workforce for the Insurance Industry

Software/AI Engineer (New Grad)

$120K - $180K / 0.10% - 0.25%

Location

San Francisco, CA, US

Job Type

Full-time

Experience

Any (new grads ok)

Visa

Will sponsor

Connect directly with founders of the best YC-funded startups.

Apply to role ›

Sashank Gondala

CTO/Co-founder

About The Role

We're looking for exceptional new graduates to join our engineering team. This is not your typical new grad role - we’re hiring cracked engineers eager to shape the future of agentic AI systems

What you'll do


Build enterprise-grade AI agents from the ground up
⁠Work closely with our CTO, Sashank, who brings experience from building speech and language models at Apple’s AI/ML org
⁠Contribute to core architecture decisions that will shape our product
Implement cutting-edge AI capabilities in production
Collaborate with a small, elite team of engineers from Google X, Microsoft, Apple, Meta, …


Why This Role

You’ll be at the forefront of AI agent system design, working alongside experienced engineers and contributing meaningfully from day one. This is a rare opportunity to get deep technical mentorship while building truly frontier tech.

Who You Are


Recent graduate with a CS/related degree (or equivalent experience)
Strong foundation in software engineering principles
Passionate about AI, ML, and building intelligent systems
Self-directed problem solver who thrives in ambiguity
Experience with Python, modern web frameworks, and cloud infrastructure
Bonus: Prior work with LLMs, ML frameworks, or agent architectures


Our Culture

We’re a small, driven team that values technical rigor, intellectual curiosity, and speed. Our engineers come from top-tier teams like Google X and Apple. We care deeply about ownership and pushing boundaries together.

Location

San Francisco, CA (Remote options available for exceptional candidates)

Compensation

Competitive salary, meaningful equity, comprehensive benefits

FurtherAI is an equal opportunity employer and values diversity at our company.

About FurtherAI

At FurtherAI, we are building a workforce of AI Teammates to automate insurance workflows. These AI Teammates can practically automate any insurance workflow involving processing unstructured documents, data entry into internal systems or web portals, or even making phone calls.

Our core mission is to answer a critical question: Can AI be made as reliable, adaptive, and continuously learning as a new human employee?

We have successfully raised a pre-seed round from top-tier investors, including Y Combinator, South Park Commons, and Converge VC. Our founding team features a second time founder and a language modeling scientist from Apple, who have known each other for over 12 years.
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Job Title: Data Engineer
Company: Tech Mahindra Business Process Services
Location: San Jose, CA
Description:
Role: Data Engineer

Location: San Jose, CA (onsite)




Job description:

We are looking for professional, motivated, and detail oriented individuals to work with the Dialer Machine Learning Team.




Minimum Qualifications

Bachelor’s degree in Computer Science or a related field
Proven experience as a Data Engineer or in a similar role
Proficiency in data manipulation and analysis using tools for SQL, Python
Proficiency in Python
Experienced in collaborating with Machine Learning teams to provide them with high-quality, accessible data
Experienced in researching and implementing new data technologies and methodologies.
Familiar with Google tools and technologies, especially related to Python and data generation/analysis




Preferred Qualifications

Master’s degree in Computer Science or a related field.
Experience in developing test automation for ETL / data pipelines with ETL tools or programming languages
Strong problem-solving skills and the ability to work independently within a defined project scope
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills
Ability to work in a fast-paced environment and navigate through ambiguity.
Ability to manage and coordinate multiple project assignments simultaneously in a deadline-driven environment, accepting ownership and accountability of the process and delivering on commitments







Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at ADA_Accomodations@TechMahindra.com.

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Job Title: Data Engineer
Company: PwC India
Location: Gurugram, Haryana, India
Description:
Key Responsibilities:




Big Query Setup and Modification:

Design, implement, and modify Big Query datasets and tables.
Optimize Big Query architecture for performance and cost-effectiveness.




Data Analysis:

Querying Big Query: Writing and executing SQL queries to extract, transform, and load (ETL) data from Big Query.
Data Exploration: Using SQL to explore datasets, identify patterns, trends, and anomalies.
Data Interpretation: Analyzing results and drawing meaningful conclusions to inform business decisions.
Data Visualization: Creating reports and dashboards using tools like Looker Studio, Google Sheets, or other BI tools to communicate insights.
Data Quality: Identifying and addressing data quality issues, ensuring data accuracy and consistency.




Log Ingestion and Modification:

Develop and manage processes for ingesting logs into Big Query tables.
Ensure data accuracy and consistency through effective data transformation techniques.




Integration with Security Solutions:

Collaborate with security teams to integrate Big Query with other security solutions.
Implement data governance and security best practices within Big Query.




Licensing and Module Management:
Understand and manage GCP licensing and module configurations related to Big Query.
Provide guidance on cost management and optimization strategies.




Data Modeling and Management:

Data Modeling: Understanding data structures and relationships within Big Query datasets.
Data Pipelines: Developing and maintaining data pipelines for ingesting, transforming, and loading data into Big Query.
Data Governance: Ensuring data security, privacy, and compliance with relevant regulations




Data Exportation and Python Proficiency:

Export logs and data efficiently from Big Query using Python.
Develop scripts and tools for data manipulation and automation tasks.




Optional Skills:

Data visualization skills (e.g., Tableau, Looker).
Basic programming skills (e.g., Python, R).
Experience with machine learning or predictive analytics.




Qualifications:

Bachelor’s degree in computer science, Information Technology, or a related field.
3-4 years of experience working with Google Big Query and GCP.
Strong proficiency in SQL and Python programming.
Experience with data integration, ETL processes, and data pipeline management.
Familiarity with security solutions and data governance practices.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.




Preferred Qualifications:

Experience with other GCP services such as Google Cloud Storage, Dataflow, or Pub/Sub.
Knowledge of machine learning concepts and Big Query ML.
Certification in Google Cloud Platform (e.g., Professional Data Engineer).

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Job Title: Data Engineer, ITC
Company: Nike
Location: Karnataka, India
Description:
Who You’ll Work With

A data engineer will work in the Data and Artificial Intelligence organisation of Nike and will focus on building highly complex and performant data pipelines that'll drive Nike's data driven strategies for the future of sports.

Who We Are Looking For

In this role, we are looking for self-driven individuals who have deep technical knowledge in the big data domain. This role requires the individual to be an excellent problem solver who'll design and implement complex data pipelines which solve business problems of Nike.

The core competencies required for this role include -


Bachelor’s degree in computer science engineering
2+ years of hands-on experience in data engineering field
In depth big data tech stack knowledge
Expertise in pyspark and SQL
Expertise in databricks, snowflake, airflow
Excellent written and verbal communication skills


What You’ll Work On

As a data engineer you'll be a key pillar of the data engineering team. You will collaborate closely with other engineers to deliver key changes to data pipelines that drive Nike's data strategy

On a day-to-day basis, you'll focus on -


Building, enhancing, and troubleshooting complex data pipelines
Collaborating with product managers, engineers, analysts to build, enhance and troubleshoot data pipelines
Collaborate with senior, lead and principal engineers to define and implement quality standards across data pipelines
Contribute towards the design and architecture of data pipelines
Implement data quality and reliability measures across data pipelines
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Job Title: ICICI Securities - Data Engineer - Python/SQL/ETL
Company: ICICIDirect
Location: Navi Mumbai, Maharashtra, India
Description:
Job Responsibilities


To work on Data Analytics to solve various business use cases.
Design and implement data pipelines to extract data from various sources (databases, flat files, APIs, streaming data, etc.
Develop efficient ETL processes using tools like Apache Spark, Apache Sqoop, Python/SQL, Pyspark,.
Good to have expertise/ knowledge in Apache Iceberg, Apace Ni-fi/ Apache Flink and Apache Kafka.
Basic Understanding of Data Pipeline design using PL/SQL jobs.
Provide seamless data Availability for data analysts, data scientists, and other stakeholders.
Develop various Business Requirements leveraging SQL and Python.
Stay updated with the latest industry trends and advancements in data analytics and AI, Data Lake, Delta Lake Experience :
Over all 6 -12 years of experience in Data Engineering & Data Analytics.
Hands-on experience in coding with Python and SQL.
Experience in building ETL, ELT Pipelines using Python.
Strong expertise in Hadoop Ecosystem (Hive, Impala, Cloudera), Spark, Sqoop, Delta Lake, Data warehouse Concepts, RDBMS System, No SQL Databases, Apache Tools like Ni-fi, Kafka etc.
Experience in Cloudera data platform is Qualification :
Bachelor's or Masters degree in Computer Science, IT or any Engineering field.


(ref:hirist.tech)
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Job Title: Data Engineer, Davengers(Data Avengers)
Company: Amazon
Location: Noida, Uttar Pradesh, India
Description:
Description

This is a 12 Month Contract opportunity.

As a data engineer are you looking for opportunity to be among software developers, machine learning scientists to build a data platform that not only caters to BI and reporting but also extends to machine learning applications?

As a data engineer in AEE, you will: - Design, implement and support an analytical data infrastructure serving both business intelligence and machine learning applications. This is a 12 Month Contract opportunity.


Managing AWS resources including EC2,Redshift,EMR-Spark etc
Collaborate with Product Managers, Financial and Business analysts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies
Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning
Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers


Basic Qualifications


1+ years of data engineering experience
Experience with SQL
Experience with data modeling, warehousing and building ETL pipelines
Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
Experience with one or more scripting language (e.g., Python, KornShell)


Preferred Qualifications


Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.


Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.


Company - ADCI - Uttar Pradesh

Job ID: A2965487
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