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Python, Pyspark, SQL

00069596584

Skill: Python, Pyspark, SQL

Exp: 6 to 12 years

Location: Pune

We are seeking a highly skilled Python / PySpark / SQL Developer to design, develop, and optimize large-scale data processing pipelines. The ideal candidate will have strong expertise in Python programming, PySpark for distributed data processing, and SQL for data querying and transformation. You will work closely with data engineers, analysts, and business stakeholders to deliver efficient, scalable, and reliable data solutions.

Key Responsibilities:

  • Design, develop, and maintain ETL/ELT pipelines using PySpark and Python.
  • Write optimized SQL queries for data extraction, transformation, and loading.
  • Work with big data platforms (e.g., Hadoop, Databricks, AWS EMR, Azure Synapse, or GCP Dataproc).
  • Implement data quality checks, validation, and error handling in pipelines.
  • Optimize PySpark jobs for performance and scalability.
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions.
  • Maintain documentation for data flows, transformations, and processes.
  • Ensure data security, compliance, and governance standards are met.
  • Troubleshoot and debug data processing issues in production environments.

Required Skills & Qualifications:

  • 3+ years of experience in Python development.
  • Strong hands-on experience with PySpark (RDDs, DataFrames, Spark SQL).
  • Proficiency in SQL (complex joins, window functions, CTEs, performance tuning).
  • Experience with big data ecosystems (HDFS, Hive, Delta Lake, etc.).
  • Familiarity with cloud data platforms (AWS, Azure, or GCP).
  • Strong understanding of data modeling and ETL best practices.
  • Experience with version control (Git) and CI/CD pipelines.
  • Knowledge of performance tuning for Spark and SQL queries.
  • Excellent problem-solving and communication skills.

Preferred Skills:

  • Experience with Airflow, Luigi, or other workflow orchestration tools.
  • Knowledge of NoSQL databases (Cassandra, MongoDB, etc.).
  • Familiarity with containerization (Docker, Kubernetes).
  • Exposure to machine learning pipelines in Spark.
  • Understanding of data warehousing concepts (Snowflake, Redshift, BigQuery).

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.

Benefits that help you thrive and grow

Our benefits program is built with you in mind—so you can enjoy a fulfilling, balanced and healthy life.

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Financial wellbeing

We regularly review market data to ensure compensation reflects the value you bring. Your benefits extend beyond pay and may include retirement plans, financial education, etc.

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Physical and mental health

We empower you to prioritize your wellbeing through paid time off, flexible working where possible, healthcare plans, counselling, our Mental Health Allyship program and more. 

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Your career, your way

With 350,000+ roles at Cognizant, you’ll have opportunities explore new technologies, industries and locations—and build the skills you need to grow your career.

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Real-world impact

Think about the biggest brands you rely on. Chances are, they rely on us to help strengthen their business. Here, you’ll turn bold ideas into solutions that improve lives everywhere.

Your path to Cognizant

Here’s what you can expect from our hiring process. Please keep in mind that it may vary by role and location. Explore our FAQs to learn more.

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Step 1: Apply to the right opportunity

Find an open role that matches your skills and career goals and show us why you’re the person for the job. Don’t see the right opportunity? Consider joining our Talent Community.

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Step 2: Connect with your recruiter

If one of our recruiters sees a fit, they’ll set up a short intro call to learn more about you and how your experiences and skills match the role.

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Step 3: Show off your skills

If you and our team would like to continue the process, you’ll interview with our hiring team. Some roles may also require technical assessments and/or client interviews.

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Step 4: Decision time

Our team will then review each candidates’ potential to succeed in the role. This step may take some time because we want to find the right fit for both you and us—but you can count on us to keep you updated.

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Cognizant has given me the opportunity to thrive as a leader and as a person. The culture of recognition, the great benefits and the sense of community motivate me, and I strive to give my best every day.
Decree Olam Team Leader - Intuitive Operations & Automation
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Cognizant has one of the best learning ecosystems you can ask for. From sponsored certifications to training platforms to mentorship, we have all that we need to grow.
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I have the privilege of working with an amazing, diverse team with loads of international experience. It’s inspiring when we all bring our different thinking, skills and experience together to deliver great things.
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