Azure Data Engineer

Title: Azure Data Engineer

Experience: 5 – 8 Years

Work Location: Bangalore

Notice Period: Immediate to 30 Days Max only

Required Skills (Mandatory): Azure Data Engineering, Azure Data Bricks, Azure Data Factory, SQL (T-SQ), API Integration, Snowflake, Python, PySpark, and CICD / DevOps.

Job Summary:

We're looking for a hands-on data engineer who is comfortable writing production-grade SQL, designing ADF pipelines, and questioning whether the thing you're about to build should exist at all. You'll work across our data platform — from ingestion through reporting — and partner closely with finance, IR, and portfolio teams to turn undocumented source data into consistent, well-documented and reliable, governed assets. This is not a role for someone who wants to maintain the status quo.

You'll be expected to identify what should be automated, document what needs standards, and push back when something is being over-engineered.

What You'll Do:

• Proactively seek clarification when business requirements are ambiguous prior to beginning development work, while exercising independent judgment on technical design decisions.

• Keep work item tickets current in Azure DevOps — updating status, notes, and linked artifacts as work progresses so the team always has an accurate picture.

• Write and maintain complex stored procedures, views, and functions in SQL, following team naming and header standards, and building those standards along the way.

• Conduct peer code reviews with Git-based workflows (Azure DevOps/GitHub); understands that code review means actually reviewing — not rubber-stamping PRs.

• Contribute to and enforce engineering standards (SQL, ADF, Python, Git branching conventions).

What We're Looking For:

• 3–6 years in data engineering, preferably from a technology-first environment.

• Experience with a cloud data warehousing platform (Databricks, Snowflake, or similar); preference to Databricks, but proficiency in one translates readily to another.

• Strong SQL; T-SQL specifically is a plus.

• Python; specifically PySpark and experience with working with dataframes, comfortable with interfacing with APIs

• Experience with Azure Data Factory, parameterization of data sets, pipelines, and focused on building re-usable pipelines.

• Openness to exploring and embracing new technologies, unafraid of automation.

• A low tolerance for repetition and a reflex to automate before complaining

• Clear communicator who can write documentation. Bonus Points

• Experience with CICD / DevOps Release Pipelines, YAML Configurations

• Work with AI/MCP tooling to connect data assets to LLM workflows (you've already done this and will do more of it)

• Web Application and Infrastructure, Networking Experience

• Power BI Reporting