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
Your Future Employer: One of the Fortune 500 firms with businesses in insurance brokerage, risk management, reinsurance services, talent management etc.
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
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
If you are interested for this role you can reach me at Ambika.firstname.lastname@example.org
Keywords: Crescendo Global, Crescendo, Azure data engineer, data engineer, ADF, Azure data factory, Software engineer.