Description

You will design and build data solutions to support analytical and reporting needs.

Responsibilities

• Design and build data marts, curated layers, and reusable data models for analytical and reporting needs.
• Develop high-performance ETL/ELT pipelines using Azure Databricks, PySpark, Python, and SQL.
• Work with large-scale structured and unstructured datasets using distributed computing techniques.
• Implement data transformation workflows aligned to medallion architecture (Bronze → Silver → Gold).
• Ensure data quality, lineage, security, and compliance with enterprise standards.

Required Skills

• 7+ years of experience in Data Engineering.
• Strong expertise in Python, PySpark, and advanced SQL.
• Hands-on experience building large-scale data pipelines, data lakes, and data marts.
• Experience with Azure Databricks, Azure Data Factory, ADLS, Synapse, and Key Vault.
• Deep understanding of Delta Lake, distributed computing, and performance optimization.
• Knowledge of relational and dimensional modeling, star schemas, and Slowly Changing Dimensions (SCDs).
• Proficiency with CI/CD pipelines.
• Experience with data quality, metadata, and governance practices.

Key Skills

Education

Bachelor's degree