Why this role stands out
This Lead Azure Data Engineer role offers a fantastic opportunity to drive impactful data solutions within a reputable company, where you'll leverage your extensive experience in Azure, SQL, and big data technologies. If you thrive in dynamic environments, possess strong problem-solving skills, and are eager to lead complex projects, this position is an excellent fit for your career growth. Apply now to shape the future of data at Intake IT Solutions!
Quick overview
Job description
Lead Azure Data Engineer
Location-Fremont, CA (Hybrid/Onsite)
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 :
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.
10 + years of proven experience with SQL, schema design and dimensional data modelling. Hands on experience in SQL is a MUST.
Solid knowledge of data warehouse best practices, development standards and methodologies
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..
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.
Nice-to-Have Skills:
Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, Cosmo DB knowledge.
SAP ECC /S/4 and Hana knowledge.
Intermediate knowledge on Power BI
Azure DevOps and CI/CD deployments, Cloud migration methodologies and processe
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