Azure Data Engineer- (5+ years)

Location: Mumbai
Discipline: Analytics
Job type: Permanent
Contact name: Ambika Tomar

Contact email: ambika.tomar@crescendogroup.in
Job ref: 37711
Published: 2 months ago

Azure Data Engineer –Data Factory/Databricks (5 – 7 years)

An excellent opportunity for data engineer holding 5 – 7 years of overall experience in IT services with hands on experience in implementing analytics data Solutions leveraging Azure Data Factory, Databricks, Datalake and Synapse. A perfect role for the one having good hands in scala, python or R, should be a divergent thinker having a proactive approach.

Key Skills: #dataengineer #datapipeline #azure #python #datawarehousing

Location: Mumbai

Your Future Employer:  One of the Fortune 500 firms with businesses in insurance brokerage, risk management, reinsurance services, talent management etc.

Responsibilities:

  • Creating and maintaining highly scalable data pipelines across Azure Data Lake Storage, and Azure Synapse using Data Factory, Databricks and Apache Spark/Scala

  • Managing a growing cloud-based data ecosystem and reliability of our Corporate datalake and analytics data mart

  • Contributing to the continued evolution of Corporate Analytics Platform and Integrated data model

  • Negotiating and influence changes outside of the team that continuously shape and improve the Data strategy

Requirements:

  • 5+ years of experience in IT services companies

  • 4+ years of experience implementing analytics data Solutions leveraging Azure Data Factory, Databricks, Logic Apps, Datalake and Synapse

  • Working experience with Scala, Python or R

  • Bachelor’s degree or equivalent experience in Computer Science, Information Systems, or related disciplines

What is in it for you?

  • A high paced, collaborative, trusting, thought provoking work environment.

  • A fast-growing industry with rapid career growth

 

Reach Us:

If you are interested for this role you can reach me at Ambika.tomar@crescendogroup.in

 

 

Keywords: Crescendo Global, Crescendo, Azure data engineer, data engineer, ADF, Azure data factory, Software engineer.