Posted 30 August, 2026
AWS Data Engineer
Tata Consultancy Services
201301, UP, IN
Full Time
Reference: 89f27df0198530b6
Job Description
TCS Hiring | Azure Data Engineer | Noida
\nGreetings from Tata Consultancy Services (TCS)!
\nWe are looking for As an AWS Data Engineer with strong expertise in Python, PySpark, and AWS Data Services to design, build, and optimize scalable data pipelines and cloud-based data platforms. The ideal candidate should have hands-on experience in big data processing, data integration, cloud migration, and data warehousing solutions on AWS.
\n📌 Job Title-AWS Data Engineer
\n📍 Location - Noida
\n💼 Experience Required - 4 to 7 Years
\nJob Summary
\nKey Responsibilities
\n- \n
- Design, develop, and maintain scalable data pipelines using Python and PySpark. \n
- Build and optimize ETL/ELT workflows for large-scale data processing. \n
- Develop data solutions using AWS services such as Glue, EMR, S3, Lambda, Redshift, Athena, and RDS. \n
- Implement data ingestion and transformation processes from multiple sources. \n
- Work with structured and unstructured datasets in cloud environments. \n
- Optimize Spark jobs and improve data processing performance. \n
- Develop and maintain data lakes and data warehouse solutions. \n
- Collaborate with business stakeholders, data analysts, and architects to understand data requirements. \n
- Ensure data quality, governance, and security standards are followed. \n
- Participate in code reviews, testing, deployment, and support activities. \n
Required Skills
\nCore Skills
\n- \n
- AWS Cloud \n
- Python \n
- PySpark \n
- Apache Spark \n
- SQL \n
- Data Engineering \n
- ETL Development \n
- Data Warehousing \n
AWS Services
\n- \n
- AWS Glue \n
- Amazon S3 \n
- Amazon EMR \n
- AWS Lambda \n
- Amazon Redshift \n
- Athena \n
- RDS \n
- IAM \n
- CloudWatch \n
Big Data Technologies
\n- \n
- Hadoop \n
- Spark SQL \n
- Data Lake \n
- Distributed Computing \n
- Batch Processing \n
- Real-Time Data Processing \n
Preferred Skills
\n- \n
- Airflow \n
- Kafka \n
- Snowflake \n
- Databricks \n
- Terraform \n
- Docker \n
- CI/CD \n
- Git/GitHub \n