Data Engineer-ETL/Cloud- 3-5 yrs- WFH

Job type: Permanent
Contact name: Maithili Joshi

Contact email:
Job ref: 35013
Published: 12 days ago
Startdate: 05/08/2021

Data Engineer- ETL Cloud- WFH (3-7 yrs.)

We are looking for a seasoned professional big data engineer with Azure cloud experience with minimum relevant experience of 3 years. The candidate will play an instrumental role in servicing the surge in demand without losing time and quality.

Your future Employer:

A strategic insights consultancy that helps clients seize opportunities and respond decisively to market change by applying insights to any aspect of their business


  • Have worked with Cloud data warehouses for big data (Snowflake)
  • Prior experience connecting to Salesforce data and Web analytics platforms (like Google search, Google Analytics 360, Similarweb)
  • SQL for querying cloud Data warehouses
  • Development skills for automated ETL workflows in cloud for Big Data replication and refresh


  • Experience in DevOps tasks
  • Know Kafka/ Mulesoft
  • Experience in data warehouse automation tools (Airflow)
  • Presto, Python
  • Experience in Cloud services (Azure Data Factory/ AWS, blob storage)
  • Experience working with Talend

What is in Store for You?

  • Handsome salary package
  • An opportunity to work with a leading firm in a high visibility role
  • A high-performance culture with phenomenal career progression
  • Fast track career growth
  • A stimulating working environment

Reach Us:

 If you think this role is aligned with your career, kindly write me an email along with your updated CV on  for a confidential discussion on the role.


Crescendo Global is an ISO 9001:2015 certified Leadership Hiring consulting arm of Crescendo Group with expertise in mid to senior 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, colour, origin, gender, sexual orientation, age, marital status, veteran status or disability status.

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