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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

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Greetings from Tata Consultancy Services (TCS)!

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We 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.

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📌 Job Title-AWS Data Engineer

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📍 Location - Noida

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💼 Experience Required - 4 to 7 Years

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Job Summary

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Key Responsibilities

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  • Design, develop, and maintain scalable data pipelines using Python and PySpark.
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  • Build and optimize ETL/ELT workflows for large-scale data processing.
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  • Develop data solutions using AWS services such as Glue, EMR, S3, Lambda, Redshift, Athena, and RDS.
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  • Implement data ingestion and transformation processes from multiple sources.
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  • Work with structured and unstructured datasets in cloud environments.
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  • Optimize Spark jobs and improve data processing performance.
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  • Develop and maintain data lakes and data warehouse solutions.
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  • Collaborate with business stakeholders, data analysts, and architects to understand data requirements.
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  • Ensure data quality, governance, and security standards are followed.
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  • Participate in code reviews, testing, deployment, and support activities.
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Required Skills

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Core Skills

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  • AWS Cloud
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  • Python
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  • PySpark
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  • Apache Spark
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  • SQL
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  • Data Engineering
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  • ETL Development
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  • Data Warehousing
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AWS Services

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  • AWS Glue
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  • Amazon S3
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  • Amazon EMR
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  • AWS Lambda
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  • Amazon Redshift
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  • Athena
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  • RDS
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  • IAM
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  • CloudWatch
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Big Data Technologies

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  • Hadoop
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  • Spark SQL
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  • Data Lake
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  • Distributed Computing
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  • Batch Processing
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  • Real-Time Data Processing
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Preferred Skills

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  • Airflow
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  • Kafka
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  • Snowflake
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  • Databricks
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  • Terraform
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  • Docker
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  • CI/CD
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  • Git/GitHub
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