Azure Data Engineer

Azure Data Engineer
Location-Fremont, CA (Hybrid/Locals Only)
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, GCP, Databricks, 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 BigQuery 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 a "let's get this done" approach and the ability to work in a 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, CosmosDB knowledge.
2. SAP ECC /S/4 and HANA knowledge.
3. Intermediate knowledge of Power BI
4. Azure DevOps and CI/CD deployments, Cloud migration methodologies and processes

Note: Momento USA is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.