Senior PySpark Developer (Cloudera, Iceberg, Airflow & AWS) - Tieto Tech Consulting (m/f/d)
Tieto (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 14–26 LPA
Posted 2h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain PySpark-based data processing pipelines on Cloudera Data Platform (CDP).
- Design and manage workflow orchestration using Apache Airflow for ETL/ELT processes.
- Leverage Apache Iceberg and AWS services to build and optimize large-scale data lake and Lakehouse solutions.
Minimum Requirements
- Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
- 5+ years of IT experience including 5+ years in Data Engineering and Big Data development.
- Strong hands-on skills in PySpark, Cloudera CDP, Apache Iceberg, Apache Airflow, and SQL.
- Experience with AWS data services (S3, Glue, Lambda, ECS/EKS, EMR, RDS, IAM, CloudWatch) and data modeling.
Ideal Candidate Profile
- Demonstrated expertise in building and optimizing scalable data pipelines on hybrid cloud platforms (Cloudera CDP and AWS).
- Experience with data lake/lakehouse architectures, data governance, and performance tuning.
- Background in Agile development environments and familiarity with DevOps practices including CI/CD and Git.