Aws Data Engineer

Location: Bangalore, Delhi, Kolkata, Coimbatore, Hyderabad, Bhubaneshwar

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.
• Design, develop and deploy solutions using different tools, design principles and conventions.
• Configure robotics processes and objects using core workflow principles in an efficient way; ensure they are easily maintainable and easy to understand.
• Understand existing processes and facilitate changing requirements as part of a structured change control process.
• Solve day-to-day issues arising while running robotics processes and provide timely resolutions.
• Maintain proper documentation for the solutions, test procedures and scenarios during UAT and Production phase.
• Coordinate with process owners and business to understand the as-is process and design the automation process flow.

Preferred Qualifications

• Education - B. tech or BE

Success Metrics

• 6 + 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 and for Deloitte.
• Empathetic leadership and inclusivity - creating a safe and thriving environment where everyone's values who they are, use empathy to understand others to adapt our behaviors and attitudes to become more inclusive.