Azure Data Engineer

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Akshaya Inc
Fremont, CA, United States (Remote)
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Role:Azure Data Engineer

Location-Fremont, CA/ Hybrid

Job Type-Long Term Contract
Interview Mode: Hands on Coding on SQL, Python, Pyspark followed by F2F Interview. Major Tech Stack: SQL, Python, Pyspark, Azure Databricks, ADLS/ADF, Medallion Architecture and Fabric Is a huge Plus.

  • Must Have skills

  • Minimum 5 years (Onsite resources)/2 years (Offshore resources) 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.

  • Minimum 12 years (Onsite resources)/5 years (Offshore resources) of proven experience with SQL, schema design and dimensional data modelling

  • Solid knowledge of data warehouse best practices, development standards and methodologies

  • 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.

  • Strong experience with big data tools(Databricks , Spark etc..) and programming skills in PySpark and Spark SQL. –

  • Be an independent self-learner with let s get this done approach and ability to work in Fast paced and Dynamic environment.

  • Excellent communication and teamwork abilities.

  • ++Some resources with++

  • 2 yrs of experience with Power BI

  • 5 yrs of experience with any reporting/visualization tool like Tableau/OBIEE etc.

  • Candidate should possess excellent communication and leadership abilities, and they should be able to manage the deliverables independently without requiring constant guidance

  • Nice to have skills

  • Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, Cosmo DB knowledge

  • SAP ECC /S/4 and Hana knowledge.

  • Azure DevOps and CI/CD deployments, Cloud migration methodologies and processes

Suresh //

415 Boulder Ct, Suite 100, Pleasanton CA 94566

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