T&T - Engineering - Senior Consultant - Statistical Analysis System Data engineer - Pune

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 SAS framework 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

• Migration of SAS frameworks to Databricks/PySpark
• Design and develop PySpark pipelines from SAS macros.
• Implemented validation frameworks between SAS and Spark outputs.
• Managing DevOps lifecycle with Git/Bitbucket integration, code reviews, and production deployments.
• Design, build, and maintain scalable data pipelines on AWS.
• Partnered with cross-functional teams to translate business requirements into technical delivery plans.
• 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 cloud services.
• 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.
• Understand existing processes and facilitate changing requirements as part of a structured change control process.
• 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

• 3+ years of strong hands-on experience with Migration of SAS frameworks to Databricks/PySpark

• Proficiency in Python (PySpark), SQL, and data transformation logic.
• Design and develop PySpark pipelines from SAS macros.
• Managing Quality & Risk - Delivering high-quality results and mitigating risks with utmost integrity and precision.
• Tech Savvy - Leveraging ethical technology practices to deliver high impact for clients and for Deloitte.

Location and way of working:

• Base location: Pune, Bangalore, Hyderabad, Bhubaneswar, Chennai and Coimbatore
• This profile involves occasional travelling to client locations.
• Hybrid is our default way of working. Each domain has customized the hybrid approach to their unique needs.