Sr. BI & Data Engineer

Sahana System Limited; Ahmedabad District; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

Sahana System Limited in Ahmedabad invites a hands-on Senior BI & Data Engineer to lead BI lifecycle from requirements to reporting pipelines. You will own dashboards, data models and data quality with a strong focus on performance and security.

The ideal candidate has 5-8 years of experience, expert SQL and Power BI skills, and a proven ability to work with business teams and DBAs to deliver trustworthy analytics across the organization.

Qualifications

• 5-8 years of experience in BI or data engineering.
• Strong SQL skills and advanced Power BI expertise.
• Excellent data modelling and ETL/ELT experience.
• Experience with SQL Server and data warehouses.
• Ability to work independently with business stakeholders.

Responsibilities

• Own development and maintenance of Power BI dashboards, reports and semantic models.
• Translate business requirements into KPIs, reports and analytical solutions.
• Design reusable and scalable Power BI data models.
• Develop dashboards for management and business functions.
• Improve dashboard performance, usability and data reliability.
• Manage Power BI workspaces, datasets, refreshes and access.
• Collaborate with business users and DBAs to ensure data quality.

Skills

SQL

Power BI

Power Query

DAX

Data modelling

ETL/ELT

SQL Server

Data warehouses

Data quality

Stakeholder collaboration

Tools

Azure Data Factory

Microsoft Fabric

Databricks

Snowflake

Python

dbt

Tableau

Power BI administration

Job description

Job Title: Sr. BI & Data Engineer

Experience: 5-8 Years

Department / Function: Technology D&S

Location: Ahmedabad

Employment Type: Full-time

About Us

Sahana System Limited (SSL), headquartered in Ahmedabad, is an ISO-certified IT company established in 2012. Listed on the National Stock Exchange (NSE) and holding CMMI Level 5 compliance, ISO 9001, and ISO/IEC 27001 certifications, SSL has built a strong reputation in both domestic and international markets. We specialize in digital product engineering, digital transformation, cloud services, blockchain, business consulting, and digital marketing, while leveraging cutting-edge technologies such as AI, ML, IoT, BI, DevOps, and Cyber Security. With a strong focus on innovation and sustainable technology, we empower enterprises, government sectors, and defence organizations worldwide. Our global footprint spans the North America, Middle East, South East Asia, and we are actively expanding into the European, Japanese and Russian market.

Website: https://www.sahanasystem.com/

LinkedIn: https://www.linkedin.com/company/sahanasystemltd/

Position Overview

We are looking for a hands-on Senior BI & Data Engineer to take ownership of our business intelligence, reporting and data engineering requirements. The ideal candidate should be strong in SQL, Power BI, data modeling and ETL/ELT, with the ability to work independently with business teams and application developers. This is an execution-focused role with ownership of the complete BI lifecycle from understanding business requirements and extracting data to building data models, dashboards, KPIs and reliable reporting pipelines. The person will work closely with the DBA, application development and business teams to ensure that data is accurate, performant, secure and useful for decision-making.

The candidate should be able to:

Understand Business Requirements> Write SQL >Build ETL >Design Data Model > Build Power BI Semantic Model> Create Dashboard >Validate Data >Optimize Performance

Key Responsibilities

BI & Analytics

• Own development and maintenance of Power BI dashboards, reports and semantic models.
• Translate business requirements into meaningful KPIs, reports and analytical solutions.
• Design reusable and scalable Power BI data models.
• Develop dashboards for management and business functions.
• Improve dashboard performance, usability and data reliability.
• Manage Power BI workspaces, datasets, refreshes and access where required.
• Establish consistent definitions for important business KPIs and metrics.

Data Engineering

• Develop and maintain ETL/ELT pipelines from databases, applications, APIs and other data sources.
• Build and maintain data warehouses, data marts and analytical datasets.
• Perform data transformation, cleansing and validation.
• Design appropriate dimensional models for reporting and analytics.
• Automate recurring data integration and reporting processes.
• Monitor data pipelines and resolve failures or data-quality issues.

SQL & Database

• Write advanced and optimized SQL queries for reporting and data processing.
• Work with SQL Server and other relational databases.
• Identify inefficient queries and collaborate with the DBA on performance improvements.
• Understand indexing, joins, aggregations and execution plans sufficiently to build efficient reporting solutions.
• Ensure BI workloads do not unnecessarily impact production databases.

Data Quality & Governance

• Implement basic data-quality checks and validation processes.
• Identify discrepancies between source systems and reports.
• Maintain documentation for data sources, transformations, KPIs and reporting logic.
• Follow appropriate security and access-control practices.
• Support the development of a reliable single source of truth for business reporting.

Business & Stakeholder Collaboration

• Work directly with business users to understand reporting and analytics requirements.
• Challenge unclear requirements and help define the right metrics and reporting approach.
• Convert business problems into practical data solutions.
• Present dashboards and insights to business stakeholders.
• Provide ongoing support and training to Power BI users where required.

Continuous Improvement

• Identify opportunities to automate manual Excel-based or operational reporting.
• Modernize legacy reports and reporting processes.
• Evaluate new BI and data technologies based on business requirements.
• Support future adoption of Azure Data Factory, Microsoft Fabric, Databricks, Snowflake or similar platforms.
• Support the organization's future AI/GenAI data requirements by ensuring data is structured, accessible and trustworthy.

Primary Skills (Must-have)

• 5 - 8 years of experience in BI, Data Engineering or a similar role.
• Strong hands-on SQL skills.
• Strong hands-on Power BI experience.
• Excellent understanding of Power Query and DAX.
• Strong understanding of data modelling and dimensional modelling.
• Practical experience developing ETL/ELT pipelines.
• Experience working with SQL Server or another enterprise relational database.
• Experience building data warehouses, data marts or analytical datasets.
• Strong understanding of data quality and validation.
• Ability to independently work with business stakeholders.

Preferred

• Azure Data Factory | Microsoft Fabric | Databricks
• Snowflake | Python | dbt |AI/RAG/GenAI
• Tableau | Power BI administration | Cloud data platforms
• Data governance and lineage