Description

You will design, modernize, and optimize enterprise-scale data platforms in a cloud environment.

Responsibilities

• Design and implement scalable data lake and cloud-native data architectures.
• Develop metadata-driven ingestion frameworks and multi-layer data models.
• Build and optimize ETL/ELT pipelines and data workflows.
• Define and enforce data governance, quality, and integrity standards.
• Lead cloud migration initiatives from legacy systems to modern platforms.

Required Skills

• Strong experience with Azure or AWS.
• Hands-on expertise with Databricks.
• Advanced proficiency in Python and SQL.
• Experience building ETL/ELT pipelines and orchestration workflows (ADF or equivalent).
• Experience designing data lakes and governance frameworks.
• CI/CD, DevOps, and Git-based development experience.
• Ability to translate business requirements into technical architecture.
• 7+ years of experience in data engineering, data architecture, or related development roles.

Preferred Skills

• Experience with Spark, Hadoop, Kafka, or Hive.
• Experience with Redshift or SQL Server.

Key Skills

Education

Any Graduate