Senior Consultant - Data Engineering
Grant Thornton INDUS · gtindus.com
HyderabadSenior
The job in short
Data engineering.
SQL
Details
- Found
- 21 d ago · posted 2026-09-07
- Location as listed
- Hyderabad, Bengaluru, Kolkata
- Role
- Data Engineer
- Source
- The company’s own careers site
Full description
Role Overview
ü As a Senior Consultant / Assistant Manager in Risk Innovation & Digital Forensics, you will deliver complex forensic and analytics engagements, taking ownership of workstreams and supporting overall project delivery. You will apply forensic methodologies, digital investigation tools, and data analytics to identify risks, support investigations, and deliver practical, evidence-based solutions, while working closely with clients and cross-functional teams
Key Responsibilities
Database Development & Data Engineering
ü Lead the design, development, and maintenance of data layers, ensuring scalable and efficient database architectures
ü Develop and optimise database solutions using SQL Server, T-SQL, and related technologies
ü Design and manage ETL processes using SSIS, ensuring reliable data integration and transformation across systems
Data Architecture & Engineering
ü Oversee data pipeline development and ensure high data quality, integrity, and performance
ü Optimise data models and database structures to support analytical and reporting requirements
ü Implement best practices for data governance, security, and performance tuning
Data Integration & Automation
ü Design and implement automated data workflows to support business and risk analytics use cases
ü Identify opportunities to enhance efficiency through automation and improved data processes
Technology & Innovation
ü Drive continuous improvement of data infrastructure through modern data engineering approaches
ü Support integration of data solutions into broader client systems and frameworks
Stakeholder Management
ü Work closely with stakeholders to translate business requirements into technical data solutions
ü Provide clear insights and recommendations based on data structures and outputs
ü Guide and review work of junior team members to ensure quality and consistency
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