Description

You will build and manage data pipelines and cloud infrastructure to support financial data integration and processing.

Responsibilities

• Develop and maintain data pipelines to ingest, process, and store structured and unstructured data from internal and external sources.
• Build and optimize relational and non-relational databases for efficient querying and retrieval.
• Implement data quality checks and enforce governance policies to maintain accuracy and regulatory compliance.
• Automate repetitive data processing tasks and monitor system performance to handle large data volumes.
• Manage data lakes, modeling, and cloud account configurations.

Required Skills

• 7+ years of professional experience in backend development, DevOps, ETL, or cloud engineering.
• Strong proficiency in Python, Node.js, or Java.
• Deep experience with AWS services including S3, EC2, Lambda, SQS, CodeBuild, CloudFormation, and Fargate.
• Hands-on expertise with SQL and database systems such as Postgres, MSSQL, or DynamoDB.
• Practical knowledge of ETL processes and service catalogue offerings within AWS or GCP.
• Experience with stream processing technologies like SNS, SQS, or Kafka.
• Solid understanding of data lakes and data warehousing architectures.

Preferred Skills

• Experience with GCP, BigQuery, or Cloud Data Fusion.
• Experience with Oracle databases, Docker, or Mongo Atlas.

Key Skills

Education

Any Graduate