Azure Data Engineer- (Python/Pyspark, ADF, DB) 5-7 Years- Gurgaon

Location: Gurgaon
Discipline: Technology, Cloud Engineer-Azure/ AWS/GCP
Job type: Permanent
Contact name: Chakshu Sharma

Contact email: chakshu.sharma@crescendogroup.in
Job ref: 38505
Published: over 1 year ago

Azure Data Engineer- (Python/Pyspark, ADF, DB) 5-7 Years- Gurgaon

Our client is looking for someone who has more than 5 years of experience. One should have experience in building pipelines, datasets, services, and activities for ETL. Someone who knows how to build the connection between Azure Data Factory, Azure Data Lake, and Azure Data Bricks. Should know to write SQL and Python.

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Location- Gurgaon

Your Future Employer- Global business process management company which combines deep industry knowledge with technology, analytics, and process expertise to co-create innovative, digitally-led transformational solutions with over 400 clients across various industries.

Responsibilities-

  1. Building, implementing, and supporting Microsoft BI solutions to meet market and/or client requirements.

  2. Writing code in spark to connect sources and transformations.

  3. File handling, error handling, functions, and UDFs.

  4. Building connections between Azure Data Factory, Azure Data Lake, and Azure Data Bricks. Should know to write SQL and Python.

Requirements-

  1. Experience in Python, and SQL to extract data from a relational database.

  2. Must have experience in Azure Data Factory, Azure Data Lake, and Azure Data Bricks. Should know to write SQL and Python.

  3. Must have experience in ADF to build pipelines, datasets, liked services, and activities for ETL.

 

What is in for You-

  1. Amazing opportunities for career progression.

  2. An international and diverse work atmosphere.

  3. A stimulating working environment with equal employment opportunities.

Reach us- If you feel that you are the right fit for the role please share your updated CV at chakshu.sharma@crescendogroup.in

 

Disclaimer- Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

 

Profile Keywords- Azure, Azure Data Engineer, Azure Data Factory, Azure Data Lake, and Azure Data Bricks, Python, SQL, Spark, Crescendo Global

 

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