Azure Data Engineer

Hirekeyz Inc

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profile Job Location:

Fremont, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: 8 hours ago
Vacancies: 1 Vacancy

Job Summary

Job Title: Azure Data Engineer

Location: Fremont CA (Local will be given first preference)

Job Type: W-2 (Long Term Contract)

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 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

Job Title: Azure Data Engineer Location: Fremont CA (Local will be given first preference) Job Type: W-2 (Long Term Contract) 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 ...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala