Associate Tech Lead - Data Engineer - HRG Group

Job Description

Position- Associate Tech Lead - Data Engineer

Experience- 7 to 10 Years

Job Location- Pune Hybrid/ Remote

The Role:

You have an uncanny knack for problem solving and you have a sharp product mindset. Our engineers are involved in all aspects of the software design process and create high-performing, scalable, and secure products. You’ll work alongside cross-functional teams to design right-size solutions that power a new market-leading Analytics platform.

As a Data Engineer, you will play a critical role in building and scaling the foundations of our Analytics & Data Platform. You’ll design and maintain reliable, secure, and scalable data pipelines and models that power a new generation of reporting, insights, and data-driven products across the ecosystem.

This role sits at the intersection of data, product, and engineering. You will work closely with Data Analysts, Full-Stack Engineers, and Product teams to translate customer and business requirements into robust data solutions - enabling everything from standardized dashboards to advanced analytics and embedded intelligence.

You are hands-on, pragmatic, and comfortable working in a fast-evolving environment where you’ll help shape both the technical platform and the operating model as we scale.

What you’ll be doing:

• Build and maintain scalable data pipelines to ingest, transform, and model data for analytics and reporting
• Develop and optimise data models to support consistent dashboards and KPI definitions
• Ensure data quality and reliability through testing, monitoring, and observability practices
• Work with Data Analysts and Product teams to translate requirements into reusable datasets and pipelines
• Collaborate with Engineering to support data integration, schema automation, and platform scalability
• Integrate data from internal and external sources (APIs, third-party systems)
• Improve performance, scalability, and cost efficiency of the data platform
• Contribute to embedding analytics into the product (dashboards, reporting, data services)
• Support advanced use cases such as forecasting, benchmarking, and data-driven insights

Required Qualifications:

• Experience designing and maintaining ETL/ELT pipelines (batch and/or streaming)
• Experience with cloud data platforms (e.g., Snowflake, Azure Synapse, Microsoft Fabric or similar) including IAC
• Familiarity with modern data tooling (e.g., dbt, Airflow, Fivetran, Azure Data Factory or equivalents)
• Understanding of data integration patterns (APIs, ingestion pipelines, transformation layers) and Solid understanding of data modelling (star schema, dimensional modelling, data warehousing concepts)
• Knowledge of data quality, testing, and observability practices (monitoring, validation, lineage)