Position- Associate Tech Lead - Data Engineer
Expereince - 6 to 8 Years
Job Location- Pune
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)
- Strong database fundamentals and SQL experience; comfortable designing safe schema changes considering performance optimization, scalability, and cost management in data systems
- Ability to work closely with Data Analysts and global stakeholders to translate requirements into scalable data solutions
- Excellent communication skills with the ability to turn ambiguous requirements into structured data models and pipelines
- Pragmatic approach to balancing speed, quality, and scalability
- An inclination towards communication, inclusion, and visibility
Preferred Qualifications:
- Understanding of CI/CD pipelines and DevOps principles
- Experience working with multi-tenant SaaS data models and secure data access patterns (e.g., tenant isolation, RBAC)
- Proficiency with one or more public cloud providers such as Azure, AWS or GCP
- Experience building foundations for modern analytics/data platforms and cloud data warehouses (e.g., Snowflake, Azure Synapse, Microsoft Fabric)
- Experience with data pipeline tooling and patterns (e.g., Azure Data Factory, Snowflake Openflow, Fivetran, dbt, or similar tools)
- Familiarity with multi-tenant SaaS analytics patterns (tenant isolation, RBAC, auditability, and data access controls such as row-level security where applicable)
- Strong operational mindset: observability/monitoring, runbooks, incident response, and production support readiness for GA launches
