Data Engineer

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

Health benefits with low-cost employee premium.

range of voluntary benefits such as Legal, Identity theft and Critical Care Coverage

training and upskilling opportunities through Udemy and Hexavarsity

Role - Azure Data Engineer

Location - Mt. Laurel, NJ

Mode - Hybrid

FULLTIME

Primary Tech skills – Databricks, Pyspark, ADF

Secondary Tech skills – Azure, Synapse,

• Experience in building end to end architecture for Data Lakes, Data Warehouses and Data Marts

• Experience of DWH, Data Integration, Cloud, Architecture, Design, Data Modelling

• Hands-on experience in Pyspark is a must.

• Experience working with structured and unstructured data.

• Extensive knowledge of ETL and Data Warehousing concepts, strategies, methodologies

• Experience in data ingestion, preparation, integration, and operationalization techniques in optimally addressing the data requirements.

• Experience in relational data processing technology like MS SQL, Delta Lake, Spark SQL, SQL Server

• Experience with Orchestration tools and GitHub

• Experience to own end-to-end development, including coding, testing, debugging and deployment.

• Must be team oriented with strong communication, collaboration, prioritization, and adaptability skill

• Need to be an individual performer as well as a Lead.

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