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Azure Engineer/lead (End to End Engineering Lead)

Maven CompaniesFremont, CA🇺🇸United StatesPosted Oct 23, 2026

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationFremont, CA, United States
PostedYesterday
SQLApache SparkAWSETLSnowflakeDatabricksGoogle CloudIoTPythonRedshiftSAPAzurePower BICI/CDAzure DevOps

Job description

Azure Data Engineer
Location-Fremont, CA /hybrid
Job Type-Long Term
Interview Mode:  Video Hands on Interview on SQL, Python, Pyspark.. Azure, Azure Databricks, Fabric, ADLS/ADF etc.
12-15 Years IT Experience and 10 plus in Data Engineering space.

Must have Skills :

  1. Min 5 years of experience in modern data engineering/data warehousing/data lakes technologies on cloud platforms like Azure, AWS, Google Cloud Platform, Data Bricks etc. Azure experience is preferred over other cloud platforms.
  2. 10 + years of proven experience with SQL, schema design and dimensional data modelling. Hands on experience in SQL is a MUST.
  3. Solid knowledge of data warehouse best practices, development standards and methodologies
  4. Hands on experience with ETL/ELT tools like ADF, Informatica , Talend etc., and data warehousing technologies like Azure Synapse, Azure SQL, Amazon redshift , Snowflake , Google Big Query etc..
  5. Strong experience with big data tools(Databricks , Spark etc..) and programming skills in PySpark and Spark SQL.
  6. Be an independent self-learner with  “let’s get this done” approach and ability to work in Fast paced and Dynamic environment.
  7. Excellent communication and teamwork abilities.

Nice-to-Have Skills:

  1. Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service,  Cosmo DB knowledge.
  2. SAP ECC /S/4 and Hana knowledge.
  3. Intermediate knowledge on Power BI
  4. Azure DevOps and CI/CD deployments, Cloud migration methodologies and processe

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