Senior Data Engineer - Databricks

Sorry, this job was removed at 02:56 p.m. (CST) on Monday, Feb 17, 2025
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Mumbai, Maharashtra
In-Office
Artificial Intelligence • Big Data • Machine Learning
The Role

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Must have skills:

  • 3+ years’ of hands-on experience in delivering data solutions

  • Experience with Databricks implementations - developing data pipelines using PySpark

  • Experience in Databricks Workspaces,Notebooks, Delta Lake, APIs

  • Experience in Python, Scala

  • Experience in advanced SQL and Query optimization 

  • Experience in implementing data integration projects using ETL 

  • Experience building and deploying cloud-based solutions at scale by ingesting data from sources like DB2 

Good to have skills : 

  • Experience with AWS services - S3,Redshift,Secrets Manager

  • Experience in implementing data integration projects using ETL (preferably Qlik Replicate & QlikCompose)

  • Experience in using Airflow or Step Functions for orchestration

  • Exposure to IaC tools like Terraform and to CI/CD tools

  • Prior experience in migrating (on-prem to cloud)  and processing large amounts of data

  • Experience in implementing data lake and data warehouse on cloud

  • Experience in implementing the industry's best practices

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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The Company
HQ: Marlborough, MA
3,494 Employees
Year Founded: 2013

What We Do

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business.
Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.

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