ranggaaprilio/Job-linked-test huggingface dataset:
Job Title: Data Engineer
Company: Ericsson
Location: Greater Kolkata Area
Description:
Join our Team

About this opportunity:

Are you a talented IT professional passionate about data and eager to drive the future of Analytics? Ericsson is looking for an IT Data Engineer to design, build, test, and maintain our data and analytics solutions. As part of this role, you will work on various technologies and platforms to ensure data is readily available and accessible to all relevant departments. You will oversee the actualization of these solutions by confirming our data is extracted, managed, and made available according to Ericsson's high standards and architectural designs.

What you will do:


Collaborate with key stakeholders to understand requirements and convert the Functional Specifications to Technical Design/Architecture.
Design and extract data by working with both source system and other technology teams using the right interaction models.
Build, test, and maintain data solutions with appropriate ML techniques, SQL/Non SQL transformational pipelines as per architectural design and requirement.
Ensure data storage and management are adhering to Ericsson's standards and regulations.
Oversee data cleaning, data transformation (ETL/ELT/Streaming), and application development approach.
Write and conduct system and ML tests and develop detailed test plans and descriptions.


The skills you bring:


AI Workflow.
12- 15 years of experience
Data Warehousing and Business Intelligence.
Enhancement and Support -Data / Analytics Solutions.
Release Management Process - Data/Analytics Solutions.
Data Integration and Interoperability.
Data Storage and Operations.
SAP Hana
Snowflake
Business Data Requirement.
Data Virtualization.
Build Data Access and Federation.
Data Quality.
Lead and Develop Data / Analytics Solution Components.
Data Curation.
Design Data / Analytics Solution Components.
ETL pipelines


Why join Ericsson?

At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.

What happens once you apply?

Click Here to find all you need to know about what our typical hiring process looks like.

Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.

Primary country and city: India (IN) || Kolkata

Req ID: 764262

]]>
Show more
Job Title: Data Engineer III
Company: Banco Bradesco
Location: Osasco, São Paulo, Brazil
Description:
Sobre o Bradesco

O Bradesco é um dos maiores grupos financeiros do Brasil, com uma história marcada pelo pioneirismo e inovação. Por meio da nossa carteira amplamente diversificada de produtos financeiros, serviços bancários e de seguros contribuímos com a realização das pessoas e o crescimento sustentável de empresas e sociedade. Venha fazer parte do nosso ecossistema financeiro e impactar a experiência de milhões de pessoas!

Saiba mais em https://banco.bradesco/html/classic/sobre/index.shtm

Responsabilidades e atribuições

O que é o nosso time de Gestão Corporativa de Riscos?

O departamento de Gestão Corporativa de Riscos, tem como missão, proteger e fortalecer os resultados do banco, fomentando a integração entre as linhas de defesa e atuando de forma prospectiva e em conjunto com o negócio, garantindo a segurança dos ativos e a confiança dos nossos clientes, parceiros e acionistas.

Modelo de trabalho : Híbrido - 3x presencial

Unidade: Matriz Osasco - SP

Como será seu dia a dia?

Sendo Data Engineer III, atuará na gerência de Eficiência e Engenharia de Dados e suas principais atividades serão:



Desenvolvimento de processos de captura, transformação e ingestão de dados;
Criação de análises de dados e dashboards;
Modelagem de dados;
Captar as necessidades de negócio e transformá-las em especificações técnicas e estórias (metodologias ágeis);
Desenvolvimento de produtos de dados.



Requisitos e Qualificações

O que você precisa ter ou saber?



Graduação completa em Ciência da Computação, Engenharia da Computação, Sistemas da Informação ou Engenharia de Software;
Conhecimento em Metodologias Ágeis, Jira, Confluence e Kanban;
Vivência com Produto de Dados e Engenharia de Dados;
Conhecimento nas ferramentas SQL, Power BI, Databricks, Python/PySpark;
Vivência em ambientes Cloud (Azure, AWS e/ou GCP), SAS, Oracle, Hive (nível avançado).



Será um diferencial se você tiver:



Vivência com outras linguagens de programação (R ou Java);
Conhecimento em Power Automate;
Conhecimento em versionamento de código com Git;
Vivência como PO ou Data Product Manager;
Inglês avançado para leitura e escrita, e intermediário para conversação.



O que nós oferecemos

No Bradesco valorizamos a saúde e bem-estar, oferecendo um extenso portfólio de benefícios a todas nossas pessoas funcionárias:



PLR ou Bônus: Conforme a elegibilidade de cargo*
Convênio Médico
Convênio Odontológico
Seguro de Vida
Vale Alimentação
Vale Refeição
13º Cesta Alimentação
Total Pass
Vale Transporte (adesão opcional)
Descontos em produtos e serviços em empresas parceiras
Previdência Privada (adesão opcional, com participação financeira da Organização Bradesco)
Viva Bem Bradesco: programa de saúde, bem-estar e qualidade de vida
Unibrad: Universidade Corporativa Bradesco
Isenção de Tarifas: condições especiais em diversos produtos e serviços
Auxílio Creche ou Babá
Licença Paternidade estendida de 20 dias
Licença Maternidade de 180 dias, acompanhamento assistencial da gestação até o pós-parto
Show more
Job Title: Data Engineer(AWS)
Company: PwC Acceleration Centers
Location: Bengaluru, Karnataka, India
Description:
We are seeking an experienced Data Engineer to join our dynamic team. The ideal candidate will have a strong background in data engineering and be proficient in a variety of data technologies, including Teradata, DataStage, AWS, Databricks, SQL, and more. As a Data Engineer, you will be responsible for designing, implementing, and maintaining scalable data pipelines and systems that support our data-driven initiatives.

Minimum Degree Required: Bachelor's degree in computer science/IT or relevant field

Degree Preferred: Master’s degree in computer science/IT or relevant field

Minimum Years of Experience: 6 - 9 year(s)

Key Responsibilities:

Design, develop, and maintain scalable ETL pipelines using DataStage and other ETL tools.
Leverage AWS cloud services for data storage, processing, and analytics.
Utilize Databricks to analyze, process, and transform data, ensuring high performance and reliability.
Implement and optimize Delta Live Tables and Delta Tables for efficient data storage and querying.
Work with Apache Spark to process large datasets, ensuring optimal performance and scalability.
Integrate Kafka and Spark Streaming to build real-time data processing applications.
Collaborate with cross-functional teams to gather requirements and deliver data solutions that meet business needs.
Ensure data quality, integrity, and security across all data systems and pipelines.
Monitor and troubleshoot data workflows to ensure smooth operations.
Document data processes, architecture designs, and technical specifications.

Qualifications:

Bachelor's degree in Computer Science, Information Technology, or a related field.
Proven experience as a Data Engineer or in a similar role.
Strong proficiency in SQL and experience with relational databases such as Teradata.
Hands-on experience with AWS services such as S3, EMR, Redshift, and Lambda.
Proficiency in using Databricks for data engineering tasks.
Experience with Delta Live Tables and Delta Tables in a data engineering context.
Solid understanding of Apache Spark, Kafka, and Spark Streaming.
Experience with messaging systems like MQ is a plus.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills.

Preferred Skills:

Experience with data warehousing and big data technologies.
Familiarity with data governance and data security best practices.
Certification in AWS or Databricks is a plus.
Show more
Job Title: Data Engineer
Company: Mphasis
Location: Bengaluru, Karnataka, India
Description:
Data Engineer – AEP Comptency

Position Summary

Experienced software engineer utilizing Big Data & Cloud technologies to program for

custom solutions for Adobe Experience Cloud customers and frameworks.

What you’ll do

• Develop low level design as per approved Tech Specification or equivalent

inputs provided.

• Build and deliver technology deliverables as per Tech Specifications/low level

design or equivalent inputs.

• Build and delivery technology deliverables compliant with functional

requirements.

• Build and deliver technology deliverables in accordance with the best practices

to ensure compliance with non-functional aspects like scalability,

maintainability, performance etc.

• Process technology deliverables through full development lifecycle.

• Maintain and support existing solutions and technology frameworks.

• Attend regular scrum events of equivalent and provide update on the

deliverables.

• Work independently with none or minimum supervision.

Requirements

6+ years(6 year) of professional software engineering mostly focused on the following:

• Developing ETL pipelines involving big data.

• Developing data processing\analytics applications primarily using PySpark.

• Experience of developing applications on cloud(AWS) mostly using services

related to storage, compute, ETL, DWH, Analytics and streaming.

• Clear understanding and ability to implement distributed storage, processing

and scalable applications.

• Experience of working with SQL and NoSQL database.

• Ability to write and analyze SQL, HQL and other query languages for NoSQL

databases.

• Proficiency is writing disitributed & scalable data processing code using PySpark,

Python and related libraries.




Data Engineer – AEP Comptency

• Experience of developing applications that consume the services exposed as

ReST APIs.




Special Consideration given for

• Experience of working with Container-orchestration systems like Kubernetes.

• Experience of working with any enterprise grade ETL tools.

• Experience & knowledge with Adobe Experience Cloud solutions.

• Experience & knowledge with Web Analytics or Digital Marketing.

• Experience & knowledge with Google Cloud platforms.

• Experience & knowledge with Data Science, ML/AI, R or Jupyter.

Show more
Job Title: Data Engineer - Commerce Platform
Company: Spotify
Location: London, England, United Kingdom
Description:
We are seeking a Data engineer to join our commerce platform team, focusing on the revenue protection - misuse domain. This role is instrumental in designing and building core capabilities to identify misuse and enforce prevention across every plan and service. You will work closely with product, engineering, and business teams and other stakeholders to ensure a stable platform to manage effectively plan misuse.

What You'll Do


Maintain and improve data pipelines, including SOX-compliant processes.
Design and build robust data pipelines using DBT and Scio.
Collaborate with product and engineering to enable a strong portfolio for addressing plan misuse at Spotify.
Work with product and business stakeholders to understand data requirements and ensure alignment with current landscape and technical strategy.
Continuously assess and improve data pipelines and systems to ensure efficiency and reliability.
Evaluate and implement Spotify standard technologies to advance the team's backend, data, and ML capabilities.


Who You Are


Proven experience in data engineering, including creating reliable, efficient, and scalable data pipelines using DBT and Scio.
Proficient in SQL and programming languages like Scala or Python.
Experience in building and maintaining scalable backend systems using Java.
Knowledge of cloud-based data platforms (AWS, GCP, or Azure).
Strong collaboration and communication skills with technical and non-technical stakeholders.
Strong problem-solving and critical thinking skills
Familiarity with A/B testing frameworks and experimentation platforms.


Where You'll Be


This role is based in London, UK, or Stockholm, Sweden.
We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.
This team operates within the Central European and GMT time zone for collaboration.


Today, we are the world’s most popular audio streaming subscription service.
Show more
Job Title: Data Engineer
Company: Coca-Cola HBC
Location: Cairo, Egypt
Description:
Department: Group Data & Automation Team

Location: Cairo, Egypt




We are looking for an Azure Data Engineer with Python and Spark skills to design, develop, and implement data solutions on the Microsoft Azure cloud platform. You will be responsible for creating and maintaining data pipelines, data storage solutions, data processing, and data integration using various Azure data services and frameworks.




YOUR NEW KEY RESPONSIBILITIES:

• Design, implement, and manage data solutions on the Microsoft Azure cloud platform using Python and Spark

• Create and maintain data pipelines, data storage solutions, data processing, and data integration using Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Data Lake Storage and other Azure data services and frameworks

• Work with data scientists/analysts/reporting team to understand the data requirements and provide data solutions that enable data-driven decision-making

• Troubleshoot, test, and deploy data solutions in Azure environments

• Provide support and training to users and junior Azure data engineers

• Stay updated with the latest Azure data technologies and best practices




ARE THESE YOUR SECRET INGREDIENTS?

• Experience in Azure data engineering or similar role

• Proficient in Python and Spark for data engineering tasks

• Knowledge of Azure data services and frameworks, such as Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Data Lake Storage

• Familiarity with data warehousing and business intelligence concepts and methodologies

• Excellent communication and presentation skills

• Ability to work independently and in a team

• Degree in Computer Science, Information Technology, Engineering, or related field

• Azure Data Engineer certification is a plus




ABOUT YOUR NEW TEAM:

We are a family of 33 thousand engaged people. Each and every one of us is the secret ingredient of Coca-Cola HBC – one of the world’s largest bottlers and partner of The Coca-Cola Company. Our every day mission is to delight over 715 million consumers by offering a choice of over 100 iconic global and favorite local brands in the moments that matter, 24 hours a day, 7 days a week. We are a truly empowered and talented team that drives superior results by winning and learning every day in 29 countries, across 3 continents. Our success comes from us working together as one to make a positive difference for the local communities we serve.

AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE

At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.

Show more
Job Title: Data Engineer (Platform)
Company: tiket.com
Location: Jakarta, Jakarta, Indonesia
Description:
We think you also hate when travel app is giving you a headache, right? A slight misinformation can ruin the trip.

That is exactly what we are tackling as t-fam! Making sure that our 50+ million users have the best experience in crafting their own adventure.

Your Main Duties In Flying With Us


Build and extend our backend code based on SOLID Principle and Clean Code
Build APIs that serve our frontend apps – Benchmark and improve performance
Develop dashboard related frontend
Maintain and extend our test suite
Refactor and improve existing code to incorporate better patterns
Document and write about the work
Create unit test and implement self test to make sure the code is running well
Assist technical lead to review and follow up code that have been developed.


Mandatory Belongings That You Must Prepare


Bachelor degree or equivalent, preferably in Computer Science/Information Technology
Min. 3 years of working experience as Software Engineer or equivalent
Knows how to analyze log
Experience working with System Design
Experienced in using Golang (Mandatory), NextJs (or any javascript related)
Experience working with RDBMS or NoSQL
Experience with Git Flow
Experience with CI/CD, TDD, Refactor/Rewrite system
Experience with Event-Driven Architecture such as Kafka or RabbitMQ
Experience with Kubernetes is a plus
Experience working with Redis and Memcached is a plus
Experience with Elastic Search is a plus
Experience with pair programming is a plus
Experience with Linux syntax, Docker is a plus
Good sense of prioritization and product knowledge/product ownership
Critical thinking, fast learner, and good communication skills
Well-motivated, responsible for the deadline, and can work under pressure
Willingness to work in a hybrid environment (3 days in-office, 2 days remote).


In the event that you haven’t received any updates after 3 weeks, your data will be kept and we may contact you for another career destination. Meanwhile, discover more about tiket.com on Instagram , LinkedIn , or YouTube .
Show more
Job Title: Data Engineer- Python Pyspark
Company: Virtusa
Location: Chennai, Tamil Nadu, India
Description:
Senior Data Engineer

Position Summary

The Sr Data Engineer is responsible for building and maintaining data pipelines ensuring the smooth operation of data systems, and optimizing workflows to meet business requirements

This role will support data integration and processing for various applications

Minimum Qualifications

7 Years overall IT experience with minimum 4 years of work experience in below tech skills

Tech Skills

Proficient in Python scripting and PySpark for data processing tasks

Strong SQL capabilities with hands on experience managing big data using ETL tools like Informatica

Experience with the AWS cloud platform and its data services including S3 Redshift Lambda EMR Airflow Postgres SNS and EventBridge

Skilled in BASH Shell scripting

Understanding of data lakehouse architecture particularly with Iceberg format is a plus

Preferred Experience With Kafka And Mulesoft API

Understanding of healthcare data systems is a plus

Experience in Agile methodologies

Strong analytical and problem solving skills

Effective communication and teamwork abilities

Responsibilities

Develop and maintain data pipelines and ETL processes to manage large scale datasets

Collaborate to design test data architectures to align with business needs

Implement and optimize data models for efficient querying and reporting

Assist in the development and maintenance of data quality checks and monitoring processes

Support the creation of data solutions that enable analytical capabilities

Contribute to aligning data architecture with overall organizational solutions
Show more
Job Title: Data Engineer with Pyspark
Company: Cognizant
Location: Bangalore Urban, Karnataka, India
Description:
Job Title:- Data Engineer with Pyspark

Location: - Kolkata

Job Type 3 days from office (Hybrid)

Responsibilities

Minimum 4 to 14 years of experience


Minimum 4 years of experience in build & deployment of Bigdata applications using PySpark
2+ years of Experience with AWS Cloud on data integration with Spark & AWS Glue/EMR
In-depth understanding of Spark architecture & distributed systems
Good exposure to Spark job optimizations
Expertise in handling complex large-scale Big Data environments
Able to design, develop, test, deploy, maintain, and improve data integration pipeline


Mandatory Skills


4+ years of exp in PySpark
2+ years of exp in AWS Glue/EMR
Strong knowledge on SQL is required
Excellent written & spoken communication skills, and time management skills.


Nice-to-Have


Any cloud skills
Any ETL knowledge
Show more
Job Title: Data Engineer I
Company: IntePros
Location: Seattle, WA
Description:
Data Engineer I – Infrastructure & Automation Projects

We’re seeking a detail-oriented Data Engineer to join a high-impact Infrastructure Automation team focused on building scalable analytic solutions. This role supports the design, development, and maintenance of data platforms that power business intelligence across complex systems. Ideal for someone early in their data engineering career, this is a strong opportunity to work on enterprise-scale data projects alongside a collaborative and fast-paced engineering team.

This is a seasonal role with the potential for extension, based on project needs.

Key Responsibilities


Build and support data warehouse platforms in large-scale, distributed environments
Design and implement ETL/ELT pipelines to support business reporting and analytics
Partner with stakeholders to gather requirements and translate them into structured datasets
Develop dashboards and reporting tools using third-party and internal technologies
Model metadata and optimize data accessibility for end-users
Collaborate with engineering teams to maintain and evolve the data infrastructure


Top 3 Must-Have Skills:


ETL pipeline development and data integration across multiple systems
SQL and/or Python proficiency for data querying and transformation
Experience with data warehousing technologies (e.g., Redshift, Oracle, MySQL, or similar)


Preferred Tools & Skills:


Knowledge of distributed data systems
Ability to analyze complex data sets and deliver actionable insights
Familiarity with reporting/dashboard tools
Strong communication and stakeholder alignment skills
Curiosity, attention to detail, and a bias for action


Candidate Requirements:


0–3 years of relevant experience in data engineering or business intelligence
Bachelor’s degree in Computer Science, Information Systems, or related field preferred
Hands-on experience with relational databases and data warehouse environments
Ability to independently manage workload and solve ambiguous problems
Comfort working in collaborative, agile team environments


Why This Role?

This position offers valuable exposure to enterprise-level data infrastructure, including complex warehousing projects and business-critical analytics. It’s a great opportunity for early-career data professionals looking to deepen their technical skills, work with seasoned engineers, and contribute to impactful automation initiatives.
Show more
Job Title: Data Analyst - SPX Express (Jakarta)
Company: Shopee
Location: Jakarta, Indonesia
Description:
Job Description


Perform deep data analysis to find pattern of lost & damaged parcels
Use advanced query to play around with logistics data to detect fraud and operational inefficiencies.
Conduct root cause analysis and recommend process improvements to close loopholes.
Collaborate with cross-functional and strategic teams to present data insights.
Stay updated on industry trends and best practices in fraud detection.


Requirements


2+ years of experience in data analysis, risk or consulting roles, and preferably within logistics, supply chain, or fraud detection industries.
Proficiency in SQL and Excel data modeling for analysis.
Additional advantage if you're experienced with Python or R for data analysis and modeling.
Demonstrated ability to work with strategic teams and present data insights effectively.
Strong problem-solving skills and logical thinking capabilities.
Show more Show less