Data Engineer - AWS/Hive/Scala/Spark (Onsite)

Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. But clients need new business models built from analyzing customers and business operations at every angle to really understand them.

With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate, and scale the most desirable products and delivery models to enterprise scale within weeks.

*You must be legally authorized to work in United States without the need of employer sponsorship, now or at any time in the future *

This is an onsite position open to any qualified applicant in the United States

Job Title: Data Engineer - AWS/Hive/Scala/Spark (Onsite)

The ideal candidate will have strong technical skills in Production Support Shell scripting AWS Hive Scala and Apache Spark. This hybrid role requires a proactive individual who can contribute to our projects and help drive our company's success. The position operates during the day shift and does not require travel.

• Provide production support to ensure smooth and efficient operations.
• Develop and maintain Shell scripts to automate tasks and processes.
• Apply AWS services to handle and deploy applications.
• Implement and optimize Hive queries for data processing.
• Write and maintain Scala code for various applications.
• Leverage Apache Spark for big data processing and analytics.
• Assists in preparing technical design specifications based on functional requirements and analysis documents.
• Reviews functional requirements, analysis and design documents and provides feedback.
• Collaborates with other development staff to achieve quality and consistency. Participates in architecture, design and code reviews.
• Develops and maintains operational and system level documentation.
• Qualifications:

5+ years' experience in a building data pipelines/ETL and data processing

• 5+ years hands-on experience and proficiency in SQL
• 3+ years hands-on experience with Linux shell scripting.
• 5+ years hands-on experience with PySpark/Spark SQL
• 3+ years of Apache Spark design and development experience using Scala.
• 5+ years of experience with Big Data or Hadoop tools such as Spark, Hive.
• 3+ years of experience with Data Frames and Resilient Distributed Datasets (RDDs).
• 3+ years of experience in building and scaling the distributed infrastructure.
• 3+ years of experience in production cloud infrastructure with AWS services especially S3, Lambda, RDS , EKS, GLUE, EMR services.
• 3+ years of working with messaging/data streaming services especially Kafka.
• 2+ years of Agile scrum experience and JIRA.
• 2+ years of CI/CD/CT for software deployment and integration.
• Ability to handle tasks independently and take ownership of responsibilities.
• Demonstrates critical thinking skills with ability to communicate across functional departments to achieve desired outcomes.
• Excellent interpersonal skills with confirmed ability to influence with impact across functions and teams.
• Ability to manage numerous projects/deadlines, identifying the vital steps and moving forward through completion

Applications will be accepted until February 15, 2025.

The annual salary for this position is between $68,000 - $108,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.