Job Summary
Sr Developer role for an MNC focusing on data engineering and advanced analytics solutions using Spark Scala Python and PySpark. The position requires six to ten years of hands on development experience in hybrid work model with day shift schedule and no travel. The role drives scalable data pipelines that support business decisions and societal impact through better insights.
Responsibilities
- Design robust distributed data processing solutions using Spark Scala Python and PySpark that transform complex raw data into reliable curated datasets for critical business analytics and reporting needs.
- Develop highly efficient batch and near real time data pipelines optimized for performance and resource utilization ensuring stable delivery of trusted data to downstream applications and data science teams.
- Implement clean modular and reusable code with strong focus on coding standards unit testing and maintainability so that data engineering assets remain stable and easy to evolve over time.
- Collaborate closely with data analysts and business stakeholders to translate analytical requirements into technical designs that deliver clear measurable value for company objectives and customer outcomes.
- Optimize Spark jobs through advanced tuning techniques including partitioning caching and efficient data formats to reduce execution time and infrastructure cost while maintaining accuracy and reliability.
- Integrate data from diverse sources into unified data models using Spark and Python ensuring consistent data quality governance and traceability across the data lifecycle.
- Troubleshoot complex production issues in data pipelines by analyzing logs performance metrics and data anomalies and implement durable fixes that prevent recurrence and improve system resilience.
- Document technical solutions data flows and operational procedures in a structured and accessible manner so that other team members can support and enhance the platforms with confidence.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
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.
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.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
