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: Data Engineer

Location: Morristown, NJ ( 2days onsite )

Full Time Opportunity

Experience : 9+ years required

Job Description

Primary Skill : PySpark, SQL

• Expertise in Spark and mid-level SQL skills

• Primary responsibility includes building notebooks in Databricks for SQL/PySpark transformations, so experience with Databricks is crucial

• Strong understanding of Spark architecture, with the ability to fine-tune and write optimized PySpark, Spark SQL code

• Proficiency in the MS Office suite (good PowerPoint skills, pivot table proficiency in Excel) and familiarity with git version control is also desired

• Experience working with Insurance data is preferred

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Thanks.

Mohamed Anas

Mohameda9@hexaware.com