Job Title:  Technology & Transformation - Engineering - Senior Consultant - Data Engineer

The Team

Deloitte’s Technology & Transformation: EAD: Engineering 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:

As a Senior Consultant in our Technology & Transformation Team, you’ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations: -

• 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 change 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.

Key skills required:

• Design, build, and maintain robust, scalable data pipelines and workflows
• Develop and manage ETL/ELT processes to transform and ingest data from multiple sources
• Work with large-scale data processing frameworks such as PySpark and Databricks
• Implement and maintain data models using DBT (Data Build Tool)
• Orchestrate workflows using tools like Apache Airflow
• Design and optimize data warehousing solutions (Redshift, Delta Lake, PostgreSQL)
• Ensure data quality, consistency, and governance across the ecosystem
• Collaborate with data analysts, data scientists, and business stakeholders to meet data requirements
• Optimize query performance and ensure efficient data storage and retrieval
• Build and maintain integration with AWS data services such as S3 and Lambda
• Troubleshoot and resolve performance, scalability, and availability issues

Qualifications:

• B. E. / B. Tech / MCA / M.E / M. Tech / MSc in Computer Science.