Description

You will design, build, and maintain large-scale data processing systems.

This role is hybrid.

Responsibilities

• Develop and maintain ETL/ELT pipelines for large datasets.
• Model data and optimize performance across data warehousing solutions.
• Implement data governance, quality, and security practices.
• Collaborate with data scientists and analysts to deliver data solutions.

Required Skills

• 5+ years of experience as a Senior Data Engineer.
• Expert proficiency in SQL and Python.
• Hands-on experience with Apache Spark, Kafka, and Airflow.
• Experience with cloud data platforms including AWS, GCP, or Azure.
• Proficiency with data warehousing technologies like Snowflake and PostgreSQL.
• Experience with relational and NoSQL databases.
• Experience with data pipeline CI/CD and Git version control.

Preferred Skills

• Familiarity with Docker, Kubernetes, Terraform, or CloudFormation.
• Relevant certifications (AWS, GCP, or Databricks).

Key Skills

Education

Any Graduate