Cognizant is hiring for the Python Data Engineering role in Gurgaon, India with a hybrid work model. This opportunity is suitable for candidates interested in data engineering, big data processing, cloud platforms, and building scalable ETL/ELT pipelines. If you enjoy working with large datasets, data transformation, cloud ecosystems, and performance optimization, this role offers strong learning and career growth in enterprise-scale data systems.
About the Company
Cognizant is a global technology and professional services company known for digital transformation, cloud engineering, AI solutions, and enterprise modernization. The company works with global clients across healthcare, finance, retail, manufacturing, and technology sectors. Cognizant is increasingly investing in AI-driven systems and modern data platforms to help enterprises unlock business value from data.
Role Overview
As a Python Data Engineer, you will help build and maintain scalable data pipelines that collect, clean, transform, and process data from multiple sources. The role combines software engineering, cloud computing, database management, and analytics engineering.
You will work with structured and unstructured datasets and ensure reliable delivery of high-quality data for business analytics, AI models, and enterprise reporting systems.
Key Responsibilities
- Build and maintain ETL/ELT pipelines using Python
- Ingest data from APIs, databases, files, and streaming systems
- Optimize pipelines for better scalability and performance
- Clean, transform, and validate raw datasets
- Process both structured and unstructured data
- Work with data processing frameworks like:
- Pandas
- PySpark
- Dask
- Design and optimize SQL queries and schemas
- Support data warehouse architecture
- Monitor pipeline failures and fix bugs
- Implement data validation and quality checks
- Ensure high data reliability and integrity
Salary / CTC Estimate 💰
Estimated Salary: ₹4.5 LPA – ₹9 LPA (for freshers / 0–2 years experience)
Salary may vary depending on skills, prior internship experience, interview performance, and location compensation bands.
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Technical Skills Required
Candidates should have knowledge of one or more of the following:
Programming & Data Processing
- Python
- Pandas
- PySpark
- Dask
Databases
- SQL
- PostgreSQL
- MySQL
- SQL Server
- MongoDB
- Cassandra
Data Warehousing
- Snowflake
- Redshift
- BigQuery
Big Data Technologies
- Apache Spark
- Hadoop
Workflow Orchestration
- Apache Airflow
Cloud Platforms
- AWS (S3, Glue, Lambda, EMR)
- Azure (Data Factory, Synapse)
- GCP (Dataflow, BigQuery)
Preferred Skills
- Strong problem-solving ability
- Good analytical thinking
- Understanding of distributed systems
- Ability to debug pipeline failures
- Familiarity with cloud-native data architecture
- Strong communication and teamwork skills
Who Can Apply?
| Criteria | Details |
|---|---|
| Education | B.Tech / BE / MCA / Relevant Degree |
| Experience | Freshers to Early Career |
| Location | Gurgaon |
| Work Mode | Hybrid |
| Skills | Python, SQL, ETL, Data Engineering |
This role is ideal for:
- Fresh graduates targeting data engineering careers
- Python developers moving into data roles
- Candidates with internship/project experience in ETL or analytics
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What You’ll Gain
Working at Cognizant can help you gain exposure to:
- Large-scale enterprise data systems
- Production-grade cloud pipelines
- Big data frameworks
- Real-world AI and analytics workflows
- Cross-functional collaboration with global teams
This can become a strong foundation for future roles like:
- Data Engineer
- Analytics Engineer
- Machine Learning Engineer
- Cloud Data Architect
Why Consider This Role?
This position is especially attractive because data engineering remains one of the highest-growth domains in tech. Companies are increasingly investing in data pipelines, AI infrastructure, and scalable analytics systems. If you already know Python and SQL, this role can be a great entry point into the data ecosystem.
How to Apply
If this role matches your career goals, prepare before applying:
- Strengthen Python and SQL fundamentals
- Practice ETL pipeline projects
- Build mini projects using Pandas / PySpark
- Learn basic cloud data workflows
- Prepare for coding and SQL interview rounds
- Update your resume with relevant projects, internships, and certifications
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Disclaimer:
This information is collected from official/public sources for informational purposes only. Salary estimates are based on market research and may vary. We do not charge any fee for job updates and do not guarantee selection or recruitment. Candidates should verify details from the official source before applying.
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