Big Data Lead-Databricks, Azure

1 week ago

Princeton, United States Hexaware Technologies Full time

What Working at Hexaware offers:

Hexaware is a dynamic and innovative IT organization committed to delivering cutting-edge solutions to our clients worldwide. We pride ourselves on fostering a collaborative and inclusive work environment where every team member is valued and empowered to succeed.

Hexaware provides access to a vast array of tools that enhance, revolutionize, and advance professional profile. We complete the circle with excellent growth opportunities, chances to collaborate with highly visible customers, chances to work alongside bright brains, and the perfect work-life balance.

With an ever-expanding portfolio of capabilities, we delve deep into and identify the source of our motivation. Although technology is at the core of our solutions, it is still the people and their passion that fuel Hexaware’s commitment towards creating smiles.

“At Hexaware we encourage to challenge oneself to achieve full potential and propel growth. We trust and empower to disrupt the status quo and innovate for a better future. We encourage an open and inspiring culture that fosters learning and brings talented, passionate, and caring people together.”

We are always interested in, and want to support, the professional and personal you. We offer a wide array of programs to help expand skills and supercharge careers. We help discover passion—the driving force that makes one smile and innovate, create, and make a difference every day.

The Hexaware Advantage: Your Workplace Benefits

  • Excellent Health benefits with low-cost employee premium.
  • Wide range of voluntary benefits such as Legal, Identity theft and Critical Care Coverage
  • Unlimited training and upskilling opportunities through Udemy and Hexavarsity


Job Description:

  • Big Data Lead- Data bricks, Azure
  • Location- Princeton NJ
  • Mode of Work- Hybrid
  • Full Time Opportunity


Key Skills:

  • Hands on development experience and understanding in designing and developing data processing patterns to simplify the complexity of real-world data engineering architecture. Patterns which are cost- efficient and scalable provide performance and reliability of a modern Lakehouse, with low latency of streaming.
  • Understand the design and develop the standard framework modules, high performance services and client libraries for big data using one or more tools from AWS, Azure, Kubernetes, Spark, DBT, Databricks and snowflake, AWS S3, Azure Blob Store.
  • Hands on experience in operationalizing tens of hundreds of data pipelines, deploy, test & upgrade pipelines and best practices to eliminate operational burdens form an aging and building high quality data pipelines.
  • Experience in query optimizer and execution engine that's fast, tuning free, scalability, ACID transactions and time travel patterns using spark jobs, DBT on Databricks and snowflake.
  • Quickly evaluate various technologies and complete POC driving architecture design for the applications.
  • Work in complex environment with multilocation teams.
  • Work in a team of agile developers.

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