Job Title:  T&T | EAD | Consultant | AWS 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

• Design, build, and maintain data pipelines that serve the needs of multiple stakeholders including software developers, data scientists, analysts, and business teams.
• Ensure data pipelines are modular, resilient, and optimized for performance and low maintenance.
• Collaborate with AI/ML teams to support training, inference, and monitoring needs through structured data delivery.
• Implement ETL/ELT workflows for structured, semi-structured, and unstructured data using cloud-native tools.
• Work with large-scale data lakes, streaming platforms, and batch processing systems to ingest and transform data.
• Establish robust data validation, logging, and monitoring strategies to maintain data quality and lineage.
• Optimize data infrastructure for scalability, cost-efficiency, and observability in cloud-based environments.
• Ensure compliance with governance policies and data access controls across projects

• Exposure to building data solutions that serve AI/ML pipelines, including feature stores and real-time data ingestion.

Preferred Qualifications

• Education - B. tech or BE

Success Metrics

· 4+ years of experience designing and deploying scalable data pipelines in cloud environments.

· Proficiency in Python, SQL, and data manipulation tools and frameworks (e.g., Apache Airflow,Spark, dbt, Pandas).

· Practical experience with data lakes, data warehouses (e.g., Redshift, Snowflake, BigQuery) and streaming platforms (e.g., Kafka, Kinesis).

· Strong understanding of data modeling, schema design, and data transformation patterns.

· Experience working with AWS (Glue, S3, Redshift, Sagemaker) or Azure (Data Factory, Azure ML Studio, Azure Storage).

· Familiarity with CI/CD for data pipelines and infrastructure-as-code (e.g., Terraform,CloudFormation).

Location and way of working:

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