Required Qualifications

- Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
- 10+ years of IT experience with 6+ years in Data Engineering and Big Data development.
- Strong hands-on experience with PySpark and Spark-based data processing.
- Experience developing data pipelines on Cloudera Data Platform (CDP).
- Strong knowledge of Apache Iceberg table architecture and data lake concepts.
- Experience designing and managing workflows using Apache Airflow.
- Experience with SQL and data modeling techniques.
- Strong understanding of ETL/ELT development and data transformation frameworks.
- Experience working with large-scale structured and unstructured datasets.
- Knowledge of Git, CI/CD pipelines, and DevOps practices.
- Strong analytical, troubleshooting, and problem-solving skills.
- Excellent communication and collaboration skills.

Preferred Qualifications

- Experience with AWS services including S3, Glue, Lambda, ECS/EKS, EMR, RDS, IAM, and CloudWatch.




- Experience building cloud-native data lake and Lakehouse solutions.
- Strong knowledge of data partitioning, performance tuning, and query optimization.
- Experience with Kafka or event-driven data processing frameworks.
- Experience with Java or Python application development.
- Experience implementing data quality, metadata, and data governance solutions.
- Healthcare, Medicaid, Claims Processing, or Insurance industry experience.
- Experience working in Agile development environments.
- AWS Certification and/or Cloudera Certification preferred.
- Experience supporting large-scale cloud migration and modernization initiatives.

Role Level: Senior Developer / Lead Developer

Experience: 10-12+ years overall with solid expertise in PySpark, Cloudera CDP, Apache Iceberg, Airflow, and AWS Data Engineering.

📌 PySpark Developer (Bengaluru)
🏢 Tieto
📍 Bengaluru