Data Engineer

Summary

Develop and maintain Azure Data Factory pipelines and Azure Data Bricks notebooks, migrate ETL workloads to Data Lake, and support data lake governance frameworks using Azure Data technologies, PySpark, and PL/SQL.

Job Description

**mandatory

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Required Information

Details


Role**

Azure Data Engineer

Required Technical Skill Set**

Azure Data Lake Storage-Gen 2/SQL Db, Azure Data Bricks, Azure Data Factory, Storage Account/Key vault, Azure DevOps

Languages: PySpark, PL/SQL


Desired Experience Range**

6 to 12 Years


Location of Requirement

Chennai


Desired Competencies (Technical/Behavioral Competency)

Must-Have**

(Ideally should not be more than 3-5)

Azure Data technologies – PaaS components (ADF, ADB, Data Lake)

PL/SQL. Hands-on Azure Data technologies experience for atleast 2+ years

Good-to-Have

1. Good communication skills

2. AzureDevOps

3. SQL Server

4.

5.


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Responsibility of / Expectations from the Role


  • Develop & maintain Azure Data Factory(ADF) Pipelines and Azure Data Bricks(ADB) notebooks (using PySpark)
  • Migrate RDBMS/traditional ETL workloads into Data Lake/ELT workloads
  • Support and maintain data lake and SQL Server control/governance frameworks (including templates and directory structures)
  • Analyze, design and implement fixes/change requests/enhancements pertaining to Azure Data Lake and data mart solutions
  • Able to work directly with client stakeholders
  • Incident handling and resolution
  • Flexible to work in Cologne time zone


See also

Data Engineering jobs by country — openings, pay and top skills →

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