Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Microsoft SQL Server
Databricks Unified Data Analytics Platform
Minimum 3 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Senior Data Engineer – SQL Server, Databricks & Power BI - 6+ Years in SQL Server Development, Data Engineering, ETL, Production Support, and Analytics along with Databricks
We are seeking an experienced Data Engineer with robust expertise in SQL Server, Databricks, ETL development, data validation, reporting, and production support. The ideal candidate will be responsible for designing and optimizing data solutions, managing large-scale data integration processes, ensuring data quality, supporting business reporting needs, and driving automation initiatives across enterprise data platforms.
SQL Server Development & Database Management (6+ Years)
Design, develop, and maintain complex SQL queries, stored procedures, views, functions, and database objects.
Create and manage database structures including tables, indexes, constraints, and partitions while ensuring data integrity and security.
Optimize database performance through query tuning, indexing strategies, and execution plan analysis.
Automate recurring database tasks using SQL Agent Jobs, scripts, and scheduling frameworks.
Collaborate with business and technical teams to translate requirements into scalable data solutions.




Databricks & Data Engineering (2+ Years)
Develop and maintain data pipelines using Databricks and cloud-based data engineering technologies.
Build and optimize ETL/ELT workflows for processing structured and semi-structured datasets.
Work with large-scale datasets leveraging Spark and Databricks for data transformation and analytics.
Support data migration, modernization, and cloud adoption initiatives.
Monitor, troubleshoot, and improve data pipeline performance and reliability.
Data Integration & ETL Processing
Design and maintain end-to-end data ingestion and integration workflows across multiple source and target systems.
Develop scalable ETL pipelines for processing data from diverse enterprise applications and databases.
Manage data extracts, imports, synchronization processes, and downstream integrations.
Ensure accurate source-to-target data movement through reconciliation and validation processes.
Support multi-region data processing and reporting requirements.
Production Support & Operations (6+ Years)
Provide Level 2/Level 3 production support for data platforms, SQL databases, and ETL processes.
Troubleshoot and resolve data, application, and system issues with minimal business impact.




Perform root cause analysis and implement preventive measures for recurring issues.
Data Validation & Quality Assurance
Perform comprehensive data quality checks and validation activities including:
Record count reconciliation
Duplicate and exception analysis
Conduct periodic and ad-hoc validations prior to data publication.
Identify data anomalies and partner with stakeholders to resolve quality issues.
Maintain data quality standards and governance practices.
Develop and maintain Power BI dashboards, reports, and KPI scorecards.
Support business users with self-service reporting and data analysis requirements.
Perform variance analysis and reconciliation reporting across multiple datasets.
Develop reusable automation frameworks for validation, reconciliation, monitoring, and reporting processes.
Build workflow automations using Power Automate and Power Platform solutions.
Drive continuous improvement initiatives focused on operational efficiency and data quality.
Explore and implement AI-enabled automation opportunities to reduce manual effort.
SQL Server
SQL Server Management Studio (SSMS)
Power BI
ETL/Data Engineering
Power Apps
Advanced Microsoft Excel
Stored Procedures, Views, Functions, Performance Tuning
Data Validation & Reconciliation
Azure Data Factory (ADF)
Azure Data Lake
Cloud Data Platforms (Azure/AWS)
GenAI and Data Automation Tools
Ability to support Shift-B operations with availability until 11:00 AM PST.
Willingness to work from office as per organizational policy.
Return to Office (RTO)
Mandatory 5-day Work from Office from one of the strategic locations:

📌 IT SQL Database Software Developer (Chennai)
🏢 Accenture
📍 Chennai