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AWS Data Engineer - PAN INDIA - Tier1 MNC

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Hybrid

AWS Data Engineer - PAN INDIA - Tier1 MNC

Group Name Visioncraft Consulting Gurgoan

AWS Data Engineer - PAN INDIA - Tier1 MNC

Skills

SQL QueriesPythonAWS LambdaKafkaSnowflakeData AnalysisAWSPySparkChange ManagementTerraform

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

18 August 2026

What they need


Base location: Pune, Bangalore, Hyderabad, Bhubaneswar, Chennai and Coimbatore

Your work profile

The Aws Data engineer is responsible for managing client relationships and overseeing the

successful delivery of programs or accounts. This role serves as the primary point of contact

between the organization and its clients, ensuring alignment of goals, timelines, budgets, and

expected outcomes while driving client satisfaction and business growth.

Key Skills & Competencies

Design, build, and maintain scalable data pipelines on AWS.

Develop ETL/ELT workflows using AWS services (Glue, Lambda, EMR, Step Functions).

Work with data ingestion frameworks using Kinesis, Kafka, or SQS.

Build and optimize data lakes using S3, Glue Catalog, and Lake Formation.

Work with Redshift/Snowflake for data warehousing solutions.

Implement data quality checks, monitoring, logging, and CI/CD deployments.

Collaborate with analytics and business teams to deliver high-quality datasets.

Strong hands-on experience with AWS Glue, S3, Lambda, IAM, and Step Functions.

Proficiency in Python (PySpark), SQL, and data transformation logic.

Experience with Redshift, Athena, and Glue Data Catalog.

Knowledge of Spark (EMR/Glue) and distributed data processing.

Familiarity with Terraform/CloudFormation for IaC is a plus.

Good understanding of data modeling, data lake principles, and best practices.

Preferred Qualifications

Education - B. tech or BE

Success Metrics

4 + years of strong hands-on experience with AWS Glue, S3, Lambda, IAM, and Step

Functions.

Proficiency in Python (PySpark), SQL, and data transformation logic.

Managing change - Responding to changing environment with resilience.

Managing Quality & Risk - Delivering high quality results and mitigating risks with utmost

integrity and precision.

Strategic Thinking & Problem Solving - Applying strategic mindset to solve business

issues and complex problems.

Tech Savvy - Leveraging ethical technology practices to deliver high impact for clients

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