AWS Data Engineer - PAN INDIA - Tier1 MNC
Group Name Visioncraft Consulting Gurgoan · Bengaluru · hybrid · Posted 64d ago
About a minute. You'll make an account on the way through.
About this role
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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