Job Requirements

Experience: 10 years of skilled experience in data engineering, with a strong, demonstrable focus on the Azure cloud ecosystem.

Shift timings: Since the client operates in PST and requires a minimum 4-hour overlap, shift timing would be 4:00 PM – 1:00 AM IST.

Core Tools: Expert-level knowledge of Azure Data Factory (ADF) (pipelines, data flows, triggers, integration runtimes) and Azure Databricks.

Modern Platforms: Hands-on experience with Microsoft Fabric (Lakehouse architecture, OneLake, and Fabric Pipelines).

Database & SQL: Advanced SQL skills with extensive experience working with Azure Synapse Analytics or other distributed compute platforms.

Storage & Formats: Deep proficiency in working with Delta Lakes, Parquet files, and Azure Data Lake Storage Gen2 (ADLS Gen2).





Foundations: Strong foundational understanding of data modeling, data warehousing concepts, and ETL/ELT best practices.

DevOps & Tools: Familiarity with Git version control, CI/CD pipelines, and infrastructure-as-code concepts for data solutions.

Security: Solid understanding of cloud security, data encryption, and access control mechanisms in Azure.

Soft Skills: Exceptional problem-solving and analytical abilities, coupled with strong written and verbal communication skills.

Methodology: Proven experience working in fast-paced Agile/Scrum development teams

📌 Sr. Data Engineer (Pune)
🏢 Xoriant
📍 Pune