Manager - Data Engineering

Job Description

Job Summary -

A mid-senior level Data Analyst lead to manage a critical project for one of our biggest client in insurance domain. The Individual should be passionate about technology, experienced in developing and managing cutting edge technology applications.

We are seeking an experienced Project Lead - Data Engineer to oversee the application support and maintenance of enterprise data pipelines and reporting systems. The ideal candidate will be responsible for ensuring seamless data operations, monitoring production pipelines, managing incidents and problems, conducting root cause analysis (RCA), and driving continuous improvements across the data ecosystem. This role also includes transitioning projects into support, mentoring a high-performing team, and delivering timely status updates to stakeholders.

Years of experience needed -

4 to 6 yrs

Technical / Non-Technical Skills :

• Expert knowledge on Data profiling and SQL skills (Profiling, TSQL), Visualization skills (Power BI) and .net.
• Detail Knowledge on Coding & testing of required Data layer validations
• Should have exposure in estimation techniques and requirements gathering
• Hands on experience in Data Analyst / Data Engineer role
• Minimum of 4 to 6 years of IT experience in Data profiling and SQL skills (Profiling, TSQL), Visualization skills (Power BI) and .net.
• Microsoft Azure - With Data Lake and SQL Server Tech Stack
• Pipeline built and integrated using ADF for Orchestration and Data Lake from Storage
• PySpark
• ADLS Gen 2
• Data Vault leveraging Delta Lake
• Power BI for visualization
• Tools & Language :
• Azure Data Factory, Azure Data Lake Gen2, Databricks, Python
• Nice to have - Exposure to Jira and ServiceNow

Process Skills :

Behavioral Skills :

Certifications Needed :