Aws 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

• 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

Role: AWS Data Engineer

Location: Atlanta, GA (Onsite All 5 days a week, no remote option)

Experience Required: 8+ years

FULLTIME with Hexaware

Key Skills: Python, EMR, Pyspark

AWS Data Engineer:

Qualifications (Data Engineer/Python Developer)
10+ years hands-on Python development experience for big data application.
Extensive working experience in implementing scalable and efficient data processing pipelines using big data technologies, such as Hadoop/EMR, Spark, Hive.
Strong development experience in AWS platforms/services such as Lambda, Eventbridge, Step Functions, Redshift, S3, Glue.
Extensive hands-on development experience in making API calls, SQL queries, data manipulation/transformation, analysis and visualization.
Strong experience in data analysis/mining, hands-on experience on analyzing large datasets and extracting meaningful insights.
Solid understanding and hand-on implementation experience in CI/CD pipeline. Familiar with tools such as Gitlab/Terraform.
Critical thinking and strong analytical skills to drive solutions, alternative plans, and conclusions
Collaborates effectively and forms positive partnerships with team members in groups and levels across a matrixed organization
Possess strong analytical and problem-solving skills

Skills
Required 10+ years of Python development experience for big data application
Required 5+ years of development experience in AWS platforms/services such as EMR, Lambda, Eventbridge, Step Functions, Redshift, S3, Glue
Required 5+ years of development experience in making API calls, SQL queries, Spark, data manipulation/transformation, analysis and visualization
Hands on experience with CI/CD pipeline tools such as Gitlab/Terraform

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