Job Title: Azure Data Engineer

Primary skills : Azure Data Factory, Azure Synapse, Azure Datalake, Advanced SQL

Secondary skills : PySpark, Databricks

Mode of work : 4Days a week from Office

Experience : 4 to 7 Years.

Must Have:

5 to 7 years of Experience in developing data ingestion, data processing and analytical pipelines
for big data, relational databases, and data warehouse solutions.
Extensive hands-on experience implementing data migration and data processing using Azure
services: ADLS, Azure Data Factory, Azure Functions, Synapse, Azure SQL DB, etc.
Experience in Data Sets, Data Frame, Azure Blob & Storage Explorer
Must have hands on experience in programming like python/PySpark using Dataframes, SQL
and procedural SQL languages.
Well versed in DevOps and CI/CD deployments.
Have good understanding on Agile/Scrum methodologies.
Strong attention to detail in high-pressure situations.
Experience in the insurance (e.g., UW, Claim, Policy Issuance) or financial industry preferred
Excellent problem-solving skills and the ability to troubleshoot complex issues in distributed
systems.
Effective communication and collaboration skills, with the ability to effectively interact with
stakeholders at all levels.

Data Engineer