Senior Data Engineer – BI Analytics & Data WarehousingConfidential Search | Permanent | Pune/Bangalore, India

The OrganizationOur client is a rapidly growing technology organisation focused on building innovative solutions across

AI, software engineering and enterprise technology . The organisation works with both emerging and established businesses to develop technology solutions that improve efficiency, enable growth and unlock new opportunities through modern digital capabilities.With a strong culture of innovation, collaboration and high ownership, the organisation is continuing to expand its in-house engineering capabilities and is looking for experienced professionals who enjoy working in a fast-paced, technology-driven environment.

The Opportunity / RoleWe are seeking a

Senior Data Engineer – BI Analytics & Data Warehousing

to contribute to the development of scalable data infrastructure and efficient data pipelines that power business intelligence and analytics.

The role will suit a hands-on Data Engineering qualified with

6–9 years of experience

across ETL/ELT development, data modelling, SQL and database engineering.

You will work across data ingestion, transformation, warehousing and analytics enablement, helping ensure that data is reliable, accessible and optimised for business use.

Roles & ResponsibilitiesETL / ELT DevelopmentDesign, build and maintain efficient ETL and ELT pipelines using

Azure Data Factory, Databricks or similar orchestration frameworks .Ensure reliable ingestion of data from multiple sources into centralised data warehouses and data lakes.

Data Modelling & WarehousingDesign

relational and dimensional data models





aligned with business and analytical requirements.Develop and maintain data models optimised for analytics and reporting.Work with modern data platforms such as

Snowflake, Redshift and PostgreSQL .

Database EngineeringDevelop efficient SQL queries and stored procedures for data transformation, cleansing and aggregation.Work with complex joins and analytical workloads while supporting data and query performance.

BI & Analytics SupportSupport reporting and dashboard development using

Power BI, Tableau or similar visualisation platforms .Collaborate with analysts and business users to understand reporting requirements and enable self-service analytics.

Performance & Data QualityMonitor and troubleshoot data pipelines and warehouse processes.Implement appropriate data-quality checks and validations to ensure accurate and timely data availability.

The CandidateWe are looking for a Data Engineering professional who combines strong technical depth with practical experience building and supporting production data environments.

Key Requirements5–10 years of experience in Data EngineeringBachelor's degree in

Computer Science, Information Systems, Data Engineering or a related fieldHands-on experience in

ETL/ELT development and data modellingStrong

SQL

skillsExperience with databases such as

SQL Server, PostgreSQL, Snowflake or RedshiftExposure to cloud and data engineering technologies such as:AWS S3Azure Data FactoryDatabricksLambda functionsFamiliarity with

Python

for scripting and data manipulationBasic understanding of

JSON, Parquet and CSVExposure to

Power BI or Tableau

will be an advantage

What Will Differentiate YouCandidates who have experience in building reliable production-grade pipelines, designing analytical data models, troubleshooting data-quality or performance issues, and working closely with analysts and business stakeholders will be particularly relevant.

📌 Senior Data Engineer – BI Analytics & Data Warehousing (Mumbai)
🏢 Axentia Global
📍 Mumbai