Description

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Key Responsibilities

• Develop ETL/ELT pipelines using AWS Glue, S3, Lambda, Step Functions.
• Build data processing solutions using Python, PySpark, and SQL.
• Work with Redshift, Athena, and EMR for data storage and analytics.
• Perform data transformation, validation, reconciliation, and quality checks.
• Optimize data pipelines and troubleshoot production issues.
• Implement CI/CD and infrastructure automation using Git, Jenkins, Terraform/CloudFormation.
• Collaborate with data architects, developers, and business teams.
• Follow banking security, compliance, and data governance standards.

Must-Have Skills

AWS | S3 | Glue | Redshift | Athena | EMR | Lambda | Python | PySpark | SQL | ETL/ELT | Data Warehousing | Git | CI/CD

Preferred

• Banking / Payments / Financial Services experience.
• Kafka/Kinesis, Snowflake, Databricks, Airflow/MWAA, Terraform.
• Experience with financial, customer, transaction, or regulatory data

Key Skills

Education

Bachelor's degree