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Associate Tech Lead - Data Engineer

Harbinger Group -
Baner, Pune, Maharashtra

Apply Now

Job details

Contractual / Temporary
13 hours ago

Qualifications

CI/CD
Data modeling
Azure
Software design
DevOps
SQL
RBAC
AWS
Continuous integration
APIs
ETL
SaaS
Communication skills
Data warehouse
Analytics

Full job description

Job Description

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

Job Snapshot

Updated Date

12-06-2026

Job ID

Harb686

Department

Delivery Unit 1

Location

Baner, Pune, Maharashtra, India

Experience

5 - 8 Years

Employee Type

Harbinger Contract

Apply Now

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