Azure Data Engineer

Momento USA

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profile Job Location:

Fremont, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: 3 days ago
Vacancies: 1 Vacancy

Job Summary

Position- Azure Data Engineer

Location- Fremont CA / Hybrid

Duration- Long Term

Experience-12 Yrs

Roles & Responsibilities

JD:

  • 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.

  • 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 lets 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

Essentials skills- Cosmo DB Azure Power BI CI/CD ETL/ELT PySpark Databricks Spark SQL.

Thanks & Regarding

Vishal Gautam Technical Recruiter

Momento USA Exceeding Customer Expectations

440 Beningo Blvd Unit#A-5 2nd Floor Bellmawr NJ 08031

Interstate Business Park.

(About US )

Exceeding customer expectations.

Desk - / Extn 1011

Email: vishal@ Linkedin - (

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Position- Azure Data Engineer Location- Fremont CA / Hybrid Duration- Long Term Experience-12 Yrs Roles & Responsibilities JD: 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...
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Key Skills

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