Consultant – Data Engineering

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Consultant – Data Engineering based in India.
We are seeking an experienced Data Engineering Consultant to design, implement, and optimize scalable data solutions within a technology-driven environment. In this role, you will leverage the Microsoft ecosystem to build reliable data pipelines, enhance reporting capabilities, and streamline enterprise workflows. You will play a key role in transforming complex technical requirements into practical solutions that support business intelligence and data-driven decision-making. Working across data engineering, DevOps, business intelligence, and IT service management, you will help strengthen data quality, governance, and operational efficiency. This opportunity is ideal for a seasoned technical professional who enjoys solving complex challenges, improving development processes, and collaborating with cross-functional teams. The position offers remote flexibility, with Chennai also listed as a location, and the chance to contribute to impactful enterprise data initiatives.
Accountabilities
Data Engineering and ETL Development: Design, develop, and optimize scalable data pipelines, ETL processes, and complex queries using SQL Server and advanced T-SQL.
DevOps and Release Management: Manage the software development lifecycle for data solutions using Azure DevOps, including Git-based version control, build pipelines, continuous integration, continuous deployment (CI/CD), and release management.
Business Intelligence and Reporting: Build interactive Power BI dashboards and comprehensive reports that provide actionable insights and support informed business decisions.
Workflow Automation: Develop and maintain automated workflows using Microsoft Power Automate and SharePoint to improve business processes and operational productivity.
Data Governance and Master Data Management: Implement and maintain Microsoft Master Data Services (MDS) solutions to support data integrity, consistency, and effective governance.
ServiceNow Reporting and ITSM: Configure, maintain, and enhance ServiceNow IT Service Management (ITSM) reporting capabilities to improve service visibility and performance monitoring.
IT Service Management: Apply ITIL best practices to support service improvement, incident resolution, change management, and reliable IT operations.
Cross-functional Collaboration: Work closely with technical and business stakeholders to integrate development best practices, improve data workflows, and align technical solutions with organizational objectives.
Requirements
Professional Experience: At least 8 years of experience in data engineering, IT services, or a related technical field.
Azure DevOps: Proven expertise with Azure DevOps, including Git repositories, build pipelines, version control, CI/CD, and deployment strategies.
SQL Server and T-SQL: Advanced proficiency in SQL Server and T-SQL, including complex query development, performance optimization, and data manipulation.
Power BI and Business Intelligence: Demonstrated ability to develop effective dashboards, reports, and analytics solutions using Power BI and enterprise data sources.
Power Automate and SharePoint: Hands-on experience creating automated workflows and managing business processes and content using Microsoft Power Automate and SharePoint.
Release Management: Strong understanding of release management principles and experience coordinating reliable, controlled software deployments.
ITIL and ITSM: Familiarity with ITIL frameworks and practical experience applying IT service management principles to improve service delivery and operational processes.
Master Data Management: Working knowledge of Microsoft MDS and data governance practices, with a focus on maintaining data quality and consistency.
ServiceNow: Experience with ServiceNow ITSM, particularly configuring, managing, and analyzing reporting functionality.
Analytical and Problem-solving Skills: Ability to investigate complex technical issues, evaluate solutions, and deliver efficient, maintainable data systems.
Communication and Collaboration: Strong communication skills and the ability to work effectively with cross-functional teams, technical specialists, and business stakeholders.
Benefits
Competitive Compensation: Annual salary range of ₹15–20 LPA.
Remote Flexibility: Remote work arrangement, with Chennai, India, also listed as a location.
Full-time Opportunity: A full-time role offering the opportunity to contribute to important enterprise data initiatives.
Technical Impact: Work across data engineering, business intelligence, DevOps, workflow automation, and IT service management.
Professional Development: Opportunity to apply and expand expertise across Microsoft data technologies, Azure DevOps, Power BI, and ServiceNow.
Cross-functional Exposure: Collaborate with technical and business teams to deliver solutions that improve data maturity and operational efficiency.
How Jobgether Works
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Work arrangement
Yes