Python, Pyspark, SQL

Cognizant • Science & Engineering • IT Outsourcing & Dedicated Teams • Python • SQL • Scala • ETL/ELT • 3 days ago
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Salary
≈ $15k – $33k per year (Estimated)
Location
Remote (India)
Seniority
Senior · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Oct 7, 2026. Cognizant scores B on the Alion truth index.

Overview
Company
Impact
Profile match

Cognizant

Cognizant is an American information technology services and consulting company founded in 1994 as an in-house technology unit of Dun and Bradstreet in Chennai, India, and headquartered in Teaneck, New Jersey. It builds, integrates and operates software and infrastructure for large enterprises, with particularly deep positions in healthcare, financial services, insurance and life sciences, delivered by a global workforce of more than three hundred thousand people concentrated in India. Listed on Nasdaq, the company competes with the large Indian and global systems integrators and has reoriented its offerings around cloud migration, data platforms and AI-assisted engineering.
cognizant.com • HQ: Teaneck, United States • Cloud Consulting & Migration • Engineering Services • Science & Engineering • IT Outsourcing & Dedicated Teams • IT Consulting & Digital Transformation • Systems Integrators • 5000+ employees • Est. 1994
Tech stack of Cognizant
Backed by Peak XV Partners

Experience: 5 to 13 years

Location: Bangalore & Hyderabad

Primary Skills: Python, Pyspark, SQL

Job Description

  • Design, develop, and maintain scalable data pipelines and ETL processes.
  • Develop and optimize data processing solutions using Python and PySpark.
  • Write complex and high-performing SQL queries for data extraction, transformation, and analysis.
  • Work with large datasets and distributed computing frameworks to support data engineering initiatives.
  • Collaborate with architects, analysts, and business stakeholders to deliver data-driven solutions.
  • Troubleshoot and resolve performance, scalability, and data quality issues.
  • Contribute to data platform modernization and best practices.

Skills

  • 5-13 years of experience in Data Engineering or related roles.
  • Strong hands-on experience in Python development.
  • Proven experience with PySpark for large-scale data processing.
  • Strong knowledge of SQL, including query optimization and performance tuning.
  • Exposure to or working knowledge of Scala.
  • Experience working with cloud-based or enterprise data platforms.

  • Strong analytical, problem-solving, and communication skills.

    Preferred Skills

  • Experience with data warehousing and ETL frameworks.

  • Exposure to cloud platforms such as Azure, AWS, or GCP.
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