Description

You will design, develop, and maintain data pipelines and platforms within an AWS cloud environment.

This role is hybrid.

Responsibilities

• Build and debug data pipelines using Python or Java in a large corporate environment.
• Implement AWS data services for ETL processes and data orchestration.
• Manage data security using IAM, encryption, KMS, and Secrets Manager.
• Apply automation and continuous delivery methods across the full Software Development Life Cycle.

Required Skills

• 3+ years of applied experience in software engineering.
• Proficiency in Python or Java.
• Hands-on experience with AWS services including S3, Glue ETL or EMR, Glue Catalog, Athena, and Lake Formation.
• Experience with Kinesis or MSK, and Airflow or Lambda with Step Functions and Event Bridge.
• Expertise in at least two data formats: Parquet, Iceberg, Avro, or JSON-LD.
• Strong SQL skills with experience in MySQL or Oracle DB.
• Knowledge of AWS security concepts including IAM, Service roles, and KMS.

Preferred Skills

• Experience with Snowflake.
• Background in building Data Lakes, Data Platforms, or Data as a Service frameworks.

Key Skills

Education

Any Graduate