Job Title:  T&T -EAD-Manager-Data Engineer-Bengaluru

The Team

Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.       

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

• 10–12 years of experience in Data Engineering, with at least 3–4 years in a lead/managerial role
• Strong hands-on expertise in one programming language:
• Python or Java or Scala (mandatory depth)
• Extensive experience with AWS data ecosystem, including:
• S3, Glue, Athena, Redshift
• Kinesis, Kakfa
• EMR / Spark / Databricks on AWS
• Lambda, Step Functions
• Airflow
• Strong Spark and distributed data processing experience
• Strong hands-on knowledge of Spark-based processing
• Experience designing data lakes (raw, curated, consumption layers)
• Strong SQL skills and experience with large datasets
• DevOps & Engineering Practices
• CI/CD, Git-based workflows
• Infrastructure as Code (CloudFormation / Terraform – good to have)
• Monitoring, logging, and performance tuning

• Strong hands-on experience with Python (must have)
• Strong experience with dbt (must have)
• Experience building and supporting ETL/ELT pipelines
• Experience ingesting data from batch files and upstream source systems
• Strong experience with AWS data engineering services, such as:
• S3
• Lambda
• Glue
• Step Functions
• Athena
• Redshift
• CloudWatch
• IAM
• Terraform
• Strong understanding of data warehousing concepts and layered architecture (RAW to curated)
• Experience with incremental load design
• Experience in physical data modeling and ER modeling
• Exposure to warehouse platforms such as GCP and Teradata
• Experience with CI/CD tools like Codefresh or similar
• Hands-on experience with Git
• Understanding of data governance, metadata, reference data, and data dictionary practices

Preferred Qualifications

• Education - B. tech or BE

Success Metrics

• 7–12 years of experience in AWS Data Engineering, with at least 3–4 years in a lead/managerial role
• Strong hands-on expertise in one programming language: Python or Java or Scala
• Experience in physical data modeling and ER modeling

Location and way of working:

• Base location: Bangalore
• This profile involves travelling to client locations.