
Azure Data Engineer
3 weeks ago
The position involves enhancing and supporting existing Data & Analytics solutions using Azure technologies, ensuring performance, scalability, and reliability.
Key Skills (Must-Have): Azure Databricks Py Spark Azure Synapse Analytics Responsibilities: Design, develop, and maintain data pipelines using Azure Data Factory, Databricks, and Synapse.
Perform data cleansing, transformation, and enrichment using Py Spark.
Handle incident classification, root cause analysis, and resolution.
Conduct code reviews and fix recurring/critical bugs.
Coordinate with SMEs and stakeholders for issue resolution.
Collaborate with teams to deliver robust and scalable data solutions.
Contribute to CI/CD processes via Azure Dev Ops.
Requirements:4–6 years of experience in Azure Data Engineering.
Strong skills in Databricks, Synapse, ADLS Gen2, Python, Py Spark, and SQL.
Knowledge of file formats (JSON, Parquet) and databases (Teradata, Snowflake preferred).
Experience in Azure Dev Ops and CI/CD pipelines.
Familiarity with Service Now for incident/change management.
Strong communication, problem-solving, and time management skills.
Nice-to-Have: Power BI experience DP-203 certification
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