Azure Data Lead Engineer​

Job Location: Hybrid
Experience: 8-10 Years

Technical Skills:

• Fully conversant with big-data processing approaches and schema-on-read methodologies are a must and knowledge of Azure Data Factory / Azure Databricks (PySpark) / Azure Data Lake Storage (ADLS Gen 2) / Azure Synapse is a must.
• Good to have excellent development skills & extensive hand-on development & coding experience in a variety of languages, e.g., Python (compulsory – PySpark), SQL, Power BI DAX (good to have), etc.
• Experience in designing solutions for Cloud Data Warehouse and working with Architect for generic implementation design of ETL / ELT Pipelines.
• Experience implementing robust ETL / ELT pipelines within Azure Data Factory / Azure Synapse Pipelines along with error handling and performance improvements, identifying performance bottlenecks.
• Should have knowledge of designing Reporting Framework layer for Power BI / Tableau.

Roles and Responsibilities:

• Experience in Designing, implementing, and delivering solutions on batch and streaming data.
• Good to have – Experience in working on Data Warehouse using different data modeling techniques (Kimball, SCD2 (Slowly Changing Dimensions)).
• Work in collaborative and Agile environment to deliver data products.
• Adapting new technology advancements and learning new things on Microsoft Azure and competing technologies – no hands-on experience needed, but need to know comparisons.
• Ensuring that client deliveries are made on time, with quality.
• Coordinate with Engineering Team, Architect and Client through PM for delivery.
• Align with organization’s vision for data practices and work towards improvising skills as needed.