**Skill** : Python, Pyspark, AWS **Exp** : 6 to 12 years **Location** : Pune **Job Summary** We are seeking a skilled **Python + PySpark + AWS Developer** to design, develop, and maintain scalable data engineering solutions. The role involves building high-performance ETL pipelines, processing large datasets, and integrating with AWS cloud services to support enterprise analytics and reporting needs. **Key Responsibilities** + Design, develop, and optimize **ETL pipelines** using **PySpark** and **Python** . + Work with **large-scale datasets** to perform data cleansing, transformation, and aggregation. + Integrate with **AWS services** such as **S3, Glue, EMR, Lambda, Redshift, Athena, Kinesis** . + Implement **data lake** and **data warehouse** solutions on AWS. + Ensure **data quality, consistency, and security** across all processing stages. + Collaborate with data scientists, analysts, and business stakeholders to deliver data solutions. + Monitor, troubleshoot, and optimize data workflows for performance and cost efficiency. + Follow **best practices** for code versioning, CI/CD, and cloud resource management. + Write **unit tests** and maintain documentation for all developed solutions. **Required Skills & Qualifications** + **Strong programming skills** in Python (data manipulation, APIs, automation). + **Hands-on experience** with PySpark for distributed data processing. + Proficiency in **AWS cloud services** (S3,



Glue, EMR, Lambda, Redshift, Athena, IAM). + Solid understanding of **SQL** and relational database concepts. + Experience with **data lake** and **data warehouse** architectures. + Knowledge of **ETL/ELT** design patterns and best practices. + Familiarity with **Git** and CI/CD tools (e.g., Jenkins, GitHub Actions). + Strong problem-solving and debugging skills. + Bachelor's degree in Computer Science, Information Technology, or related field. **Preferred Skills** + Experience with **streaming data** (Kafka, Kinesis). + Knowledge of **Docker** and containerized deployments. + Familiarity with **Terraform** or **CloudFormation** for infrastructure as code. + Exposure to **machine learning pipelines** in a big data environment. + Understanding of **data governance** and compliance standards. **Work Setting** + **Location:** Onsite / Remote / Hybrid (as per company policy) + **Team:** Works closely with data engineers, analysts, and cloud architects. + **Tools:** AWS Cloud, Spark, Python, SQL, Git, CI/CD pipelines. Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

📌 Python, Pyspark, AWS (Chennai)
🏢 Cognizant
📍 Chennai