Description

You will design and build scalable data solutions within the AWS ecosystem.

This role is hybrid.

Responsibilities

• Design and implement scalable ETL/ELT pipelines using AWS Glue, Lambda, Step Functions, and related services.
• Build and maintain cloud infrastructure for data analytics platforms using Infrastructure as Code (IaC) tools.
• Develop reusable frameworks and automation scripts to streamline data operations and ensure integrity.
• Collaborate with data scientists and analysts to deliver high-quality data platforms.
• Monitor data pipelines, troubleshoot issues, and optimize performance.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency in Python and SQL.
• Hands-on experience with AWS services: S3, Glue, Lambda, Redshift, RDS, Athena, Step Functions.
• Experience with orchestration tools like Apache Airflow or MWAA.
• Strong understanding of ETL/ELT pipelines and data modeling.
• Familiarity with DevOps practices including CDK and CI/CD.
• Experience with PySpark.
• Any Graduate degree.

Preferred Skills

• Experience with big data tools (Spark, Hive, Kafka).
• Knowledge of containerization (Docker, Kubernetes).

Key Skills

Education

Any Graduate