Description

You design and implement data pipelines, warehouses, and ETL processes to transform raw data into business insights.

This role is on-site.

Responsibilities

• Build and maintain scalable data pipelines and warehousing solutions.
• Develop ETL processes using Python or Java to ensure data quality and accessibility.
• Implement data modeling and dimensional modeling concepts.
• Collaborate with cross-functional teams to deliver actionable business insights.
• Apply data governance and security best practices across all data assets.

Required Skills

• 5+ years of experience as a Data Engineer.
• Strong proficiency in SQL and database management systems (PostgreSQL, MySQL, MongoDB).
• Experience with big data technologies such as Hadoop or Spark.
• Proficiency in cloud-based data services (AWS Redshift, Google BigQuery, or Azure Synapse).
• Hands-on experience with data visualization tools like Tableau or Power BI.
• Knowledge of data governance, security, and dimensional modeling.

Key Skills

Education

Any Graduate