Job Title: Data Engineer
Company: Capgemini
Location: Hyderabad, Telangana, India
Description:
Capgemini is looking for a skilled Data Engineer to join our dynamic team.

In this role, you will be responsible for designing, implementing, and maintaining data pipelines and architectures, ensuring efficient data processing and storage. You will collaborate closely with data scientists and analysts to support data analysis and reporting needs, making sure data quality and integrity are upheld throughout the data lifecycle. Your role will be pivotal in driving data initiatives and optimizing data workflows, enabling better decision-making through data-driven insights.

As part of a leading global consulting firm, Capgemini provides opportunities to work on diverse projects and leverage cutting-edge technologies in the data engineering space.

Role Description:


Consults independently, works iteratively, and is viewed as an expert on data projects of a complex nature
Ability to understand design requirement and existing business processes to lead in the design, development, and implementation of data products in partnership with business partners and data scientists
Produces complex data building blocks, data models, and data flows working with business partners and data scientists within personal lines and distribution domains to deliver requests such as dimensional data models, standard and ad hoc reporting, data feeds, dashboard reporting, ad hoc analysis, data profiling etc
Designs and manages highly complex projects while handling multiple complex cross-functional projects
Preps/cleanses data to optimize for downstream reporting using Farmers standards
Functions as an expert in serving as a SME for appropriate data sources and for how best to operationalize solutions working closely with business partners and data scientists
Acts as a conduit between business and IT teams for all aspects of the work
Create Dimensional Data Models, STTM's and other technical documents for offshore developers and oversee technical delivery of projects by conducting code reviews, documentation reviews etc
Design, develop and maintain scalable and efficient data pipelines using cloud services such as AWS Glue, Lambda, Airflow, Event Bridge or equivalent/ related. Performs other duties as assigned



Requirements

Total Work Experience: Minimum Required: 4-6 years

English Proficiency: Intermediate

Required Education: Bachelor's Degree in Computer Science, Information Technology, or related field

Additional Preferred Branch(es) Of Study


Practical knowledge of SQL, Dimensional modeling, Query tuning, ETL orchestration, PowerBI, Python, preferred
Hands-on experience with multiple cloud platforms including AWS, Google, and Azure preferred with exposure to services like S3, IAM roles, EC2 or equivalent
Hand on experience with developing on SSIS and SSAS, preferred
Hands-on experience of SQL, Query tuning, AWS Glue, Python, PySpark preferred
Hands-on experience with multiple cloud platforms including AWS, and Azure
Hands-on experience with RESTful APIs and methods, status codes, request response cycles
Hands-on experience with data serialization formats and proficiency in working with data formats such as JSON, PARQUET, XML
Hands-on experience in CI/CD framework to enable automated deployments
Solid ability to consume APIS from various sources, integrate into code, extract relevant data and handle different response formats
Understanding of API security best practices, including authentication, authorization and data encryption
Ability to understand API documentation (e.g. Swagger, OpenApi)
Knowledge of data quality and data governance processes
Possesses strong technical aptitude, preferred
Strong verbal communication and listening skills, preferred
Extensive experience interacting with senior leadership stakeholders around the topics of data access, quality, appropriate use, metric definitions and standardization, preferred
Effectively coaches junior members and delivers constructive feedback



Benefits

Competitive compensation and benefits package:


Competitive salary and performance-based bonuses
Comprehensive benefits package
Career development and training opportunities
Flexible work arrangements (remote and/or office-based)
Dynamic and inclusive work culture within a globally renowned group
Private Health Insurance
Pension Plan
Paid Time Off
Training & Development


Note: Benefits differ based on employee level.

About Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2023.

﻿https://www.capgemini.com/us-en/about-us/who-we-are/
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