Why this role stands out
This hybrid role offers significant growth potential as you'll be instrumental in designing and deploying scalable data pipelines, leveraging cutting-edge AWS technologies. You'll thrive here if you possess strong data engineering skills, enjoy complex problem-solving, and are eager to contribute to impactful projects within a reputable global organization. Apply now to advance your career in data innovation!
Quick overview
Job description
Role Description:
common ETL patterns and establish scalable design standards. • Build, test, deploy, and support data pipelines and orchestration workflows. • Collaborate with business stakeholders to translate requirements into technical solutions. • Drive performance optimization, reliability, and operational excellence across data platforms. Required Skills • 10+ years of experience in Data Engineering, ETL Development, and Data Warehousing. • Strong development experience in PySpark, Python, and SQL. • Hands-on experience with: o AWS EMR Serverless o AWS Glue o AWS Step Functions o AWS EventBridge o Amazon S3 o Apache Airflow • Strong database experience, preferably DB2, Snowflake and Amazon Athena. • Advanced SQL skills include complex joins, window functions, CTEs, performance tuning, and data reconciliation. • Experience with Informatica PowerCenter and the ability to understand and analyze existing ETL implementations. • Strong analytical, problem-solving, and communication skills. • Ability to work independently and take ownership from design through production deployment. Preferred Skills • Experience building metadata-driven and reusable ETL frameworks. • Experience with large-scale ETL modernization and cloud migration initiatives. • Knowledge of data quality, data governance, and reconciliation processes. Nice to Have • Experience integrating external systems through REST APIs using Python/PySpark. • Exposure to CI/CD pipelines and DevOps practices. • Experience with Medallion Architecture (Bronze, Silver, Gold) • Insurance domain experience.
Skills and Capabilites
Other Critical Skills
AWS Glue - Advanced
SQL - Advanced
Pyspark - Advanced
Python - Intermediate
AWS EMR Serverless - Intermediate
AWS Step Functions - Intermediate
AWS S3 - Intermediate
AWS Airflow - Intermediate
Snowflake - Advanced
AWS Athena - Intermediate
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.
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