PySpark Tech Lead

Cognizant Technology SolutionsColumbus, OH
34d

About The Position

We are seeking an experienced technology leader with over 12 years of experience in data engineering, big data platforms, and distributed computing. Proven expertise in architecting and delivering scalable data solutions using Apache Spark (PySpark), Hadoop ecosystem, and cloud-native technologies. Adept at leading cross-functional teams, driving end-to-end data pipelines, and enabling real-time analytics for enterprise-grade applications. The Cognizant community: We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive. Cognizant is a global community with more than 300,000 associates around the world. We don't just dream of a better way - we make it happen. We take care of our people, clients, company, communities and climate by doing what's right. We foster an innovative environment where you can build the career path that's right for you. About us: Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant (a member of the NASDAQ-100 and one of Forbes World's Best Employers 2025) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws. Disclaimer: Compensation 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. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.

Requirements

  • 5+ years of experience in:
  • Apache Spark (PySpark, Spark SQL, Spark Streaming)
  • Hadoop, Hive, HDFS
  • Python, Scala, SQL, Shell Scripting
  • AWS (EC2, S3, RDS, Confluent Cloud)
  • ETL/ELT pipeline design, data ingestion, transformation, and orchestration

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

Professional, Scientific, and Technical Services

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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