IT Solution database engineer

Eurofins; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Eurofins is seeking an experienced Data Warehouse Developer to design, develop, and maintain enterprise data integration solutions. You will build and optimize ETL processes, develop SSIS packages, design data warehouse solutions, and craft efficient SQL queries to deliver data from multiple systems.

The role requires strong expertise in Microsoft SQL Server technologies, data governance, performance tuning, and large-scale data integration to support BI and analytics for diverse industries.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Engineering, or related discipline.
• 5+ years of hands-on experience in Data Warehouse Development.
• 5+ years of SQL Server development experience.
• 3+ years of experience developing and supporting SSIS packages and ETL solutions.
• Experience working with large enterprise databases and high-volume transactional systems.

Responsibilities

• Design, develop, and maintain SSIS packages for data extraction, transformation, and loading (ETL).
• Integrate data from multiple sources including SQL Server, flat files, APIs, and cloud platforms.
• Develop robust error handling, logging, and monitoring inside ETL processes.
• Design and maintain enterprise data warehouses, data marts, and staging environments.
• Write optimized T-SQL queries, views, functions, and stored procedures.

Skills

SQL proficiency

ETL/ELT

Data warehousing

Data modeling

Performance tuning

Education

Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Engineering, or related discipline

Tools

SQL Server 2016/2019/2022

SSIS

SSRS

SQL Server Agent

Azure DevOps or Git

Azure Data Factory (ADF)

Azure SQL Database or Synapse Analytics

Power BI

Job description

Eurofins Scientificis an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins laboratories work with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic and labelling is accurate.

The Eurofins network of companies believes that it is a global leader in food, environment, pharmaceutical and cosmetic product testing and in discovery pharmacology, forensics, advanced material sciences and AgroScience contract research services. It is also one of the market leaders in certain testing and laboratory services for genomics, and in the support of clinical studies, as well as in biopharma contract development and manufacturing. It also has a rapidly developing presence in highly specialised and molecular clinical diagnostic testing and in-vitro diagnostic products.

In over 37 years, Eurofins has grown from one laboratory in Nantes, France to over 65,000 staff across a decentralised and entrepreneurial network of more than 950 laboratories in over 1,000 companies across 59 countries. Eurofins companies offer a portfolio of over 200,000 analytical methods to evaluate the safety, identity, composition, authenticity, origin, traceability and purity of biological substances and products.

In 2024, Eurofins generated total revenues of EUR 6.95 billion; and has been among the best performing stocks in Europe over the past 20 years.

Job Description

We are seeking an experienced Data Warehouse Developer to design, develop, and maintain enterprise data integration solutions that support business intelligence, analytics, operational reporting, and data-driven decision-making. The successful candidate will be responsible for building and optimizing ETL processes, developing SSIS packages, designing data warehouse solutions, and creating efficient SQL queries and stored procedures to extract, transform, merge, and deliver data from multiple systems.

This role requires strong expertise in Microsoft SQL Server technologies, data modeling, data governance, performance tuning, and large-scale data integration.

Key Responsibilities

Data Integration & ETL Development

Design, develop, test, and maintain SQL Server Integration Services (SSIS) packages for data extraction, transformation, and loading (ETL).

Integrate data from multiple internal and external sources, including SQL Server databases, flat files, APIs, cloud platforms, and third-party applications.

Develop robust error handling, logging, and monitoring mechanisms within ETL processes.

Troubleshoot and resolve ETL failures, performance bottlenecks, and data quality issues.

Data Warehouse Development

Design and maintain enterprise data warehouses, data marts, and staging environments.

Develop dimensional models including star and snowflake schemas.

Implement data cleansing, transformation, and standardization processes.

Collaborate with business stakeholders to translate reporting and analytics requirements into scalable warehouse solutions.

SQL Development & Performance Optimization

Write complex, highly optimized T-SQL queries, views, functions, and stored procedures.

Develop efficient data retrieval and transformation logic across large datasets.

Analyze execution plans and optimize database performance through indexing, partitioning, and query tuning.

Ensure scalable and maintainable database solutions that support growing business needs.

Data Quality & Governance

Implement data validation processes to ensure accuracy, completeness, and consistency.

Identify and resolve data discrepancies across systems.

Support data governance initiatives and maintain metadata documentation.

Ensure compliance with organizational security and data management standards.

Reporting & Analytics Support

Support reporting teams by developing data structures optimized for BI tools such as Power BI, SSRS, or Tableau.

Create and maintain reusable datasets and reporting views.

Assist analysts and business users with complex data requests and ad-hoc analyses.

Create and maintain technical documentation for ETL processes, data mappings, warehouse structures, and database objects.

Participate in architecture and design reviews.

Collaborate with developers, DBAs, business analysts, and project managers throughout the SDLC.

Support production deployments and post-implementation troubleshooting.

Required Qualifications

Education

Bachelor's degree in Computer Science, Information Systems, Software Engineering, Data Engineering, or a related discipline.

Experience

5+ years of hands-on experience in Data Warehouse Development.

5+ years of SQL Server development experience.

3+ years of experience developing and supporting SSIS packages and ETL solutions.

Experience working with large enterprise databases and high-volume transactional systems.

Required Technical Skills

Database Technologies

Microsoft SQL Server 2016/2019/2022

SQL Server Integration Services (SSIS)

SQL Server Reporting Services (SSRS)

SQL Server Agent

SQL Development

Advanced T-SQL programming

Stored Procedures

• Views
• Functions
• Common Table Expressions (CTEs)
• Window Functions
• Query Optimization
• Indexing Strategies
• Data Warehouse Concepts
• ETL/ELT Methodologies
• Data Modeling
• Snowflake Schema
• Slowly Changing Dimensions (SCD)
• Fact and Dimension Tables
• Data Governance
• Master Data Management
• Tools & Methodologies
• Azure DevOps or Git
• Preferred Qualifications
• Experience with Azure Data Factory (ADF).
• Experience with Azure SQL Database or Synapse Analytics.
• Experience supporting Power BI semantic models and datasets.
• Knowledge of data lake and modern analytics architectures.
• Microsoft DP-203, DP-300, or related certifications.
• Strong analytical and problem-solving skills.
• Exceptional attention to detail and data accuracy.
• Ability to work independently and manage multiple priorities.
• Strong verbal and written communication skills.
• Customer-focused approach to delivering business solutions.
• Continuous improvement mindset focused on performance and scalability.
• Success Measures
• The Data Warehouse Developer will be evaluated based on:
• ETL reliability and successful batch execution rates.
• Data quality and accuracy.
• Query and report performance improvements.
• Timely delivery of integration and reporting solutions.
• Documentation quality and adherence to development standards.
• Reduction of manual data processing through automation.
• This version is aligned with an enterprise SQL Server/Data Warehouse environment such as Eurofins' SSIS/SSRS-driven reporting and analytics platforms.