Python Senior Technical Lead - Data Analysis, SQL

Job Summary

Required Skills

• Strong hands-on experience with Python, SQL, Py Spark, and distributed data processing.

• AWS experience across Glue, EMR, S3 and working knowledge of Sage Maker, Lambda, Step Functions, DynamoDB, RDS.

• Strong SQL skills; experience with data warehousing concepts and platforms such as Snowflake.

• Experience with workflow orchestration (e.g., Airflow) and production-grade pipeline operations.

• Experience with Kafka or other event streaming technologies.

• Understanding of data modeling, pipeline reliability, and performance optimization.

• CI/CD with GitLab, containerization (Docker), and infrastructure automation (Terraform/CloudFormation).

Good-to-Have

• Exposure to Banking domain; experience in Financial Crime / AML / Fraud analytics is a plus.

• Exposure to regulatory expectations around model risk management and auditability.

• Experience with interpretability, monitoring, and drift detection concepts/frameworks.

• Nice-to-have: Informatica Data Management Cloud (IDMC) exposure or migration context.

Key Responsibilities

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Skill Requirements

Required Skills

• Strong hands-on experience with Python, SQL, Py Spark, and distributed data processing.

• AWS experience across Glue, EMR, S3 and working knowledge of Sage Maker, Lambda, Step Functions, DynamoDB, RDS.

• Strong SQL skills; experience with data warehousing concepts and platforms such as Snowflake.

• Experience with workflow orchestration (e.g., Airflow) and production-grade pipeline operations.

• Experience with Kafka or other event streaming technologies.

• Understanding of data modeling, pipeline reliability, and performance optimization.

• CI/CD with GitLab, containerization (Docker), and infrastructure automation (Terraform/CloudFormation).

Other Requirements

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