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Data & Decision Engineering Lead
Data & Decision Engineering LeadMatrimony.com Limited • Delhi, India
Data & Decision Engineering Lead

Data & Decision Engineering Lead

Matrimony.com Limited • Delhi, India
17 days ago
Job description

Work Location : Chennai (Work From Office)

Department Overview

The Decision Support Systems (DSS) function enables data-driven decision-making across Matrimony.com by delivering high-quality data pipelines, analytical platforms, and intelligent planning tools. The team partners with business leaders, product teams, and product engineering teams to convert raw data into actionable insights that power strategic, operational, and commercial decisions across the organization.

Role Overview :

We are seeking a Data Engineering Lead to drive the development and optimization of our enterprise data pipelines, analytical data models, and decision-support infrastructure at Matrimony.com. In this role, you will design and build scalable ETL / ELT workflows, manage data lake and warehouse environments, and enable high-quality data availability for analytics, BI, and machine-learning use cases across the organization.

You will lead a small team of data engineers, collaborate closely with business stakeholders, BI analysts, and data science teams, and ensure strong engineering discipline in data modelling, orchestration, performance tuning, and governance.

Key Responsibilities :

Design and build scalable ETL / ELT pipelines using Python & Airflow / Prefect

Develop and optimize data lake, data warehouse, and data mart models

Build star / snowflake schemas, OLAP cubes, and analytical structures

Ensure data quality, validation, lineage, and documentation across pipelines

Partner with analytics & data science teams to enable ML-ready datasets

Monitor pipeline performance and drive improvements in reliability & cost

Guide and mentor a small team (2–3 engineers)

Collaborate with cross-functional partners to understand data needs and define solutions

Ensure adherence to data governance, access control, and security standards

Support BI teams with semantic layers, curated data sets, and performance tuning

Skill and Competencies :

6–10 years of experience in data engineering

Strong Python + SQL + Airflow / Prefect

Experience with lake + warehouse + mart architectures

Hands-on dimensional modeling & OLAP systems

Spark / Kafka experience is a strong plus

Understanding of ML data pipelines & feature engineering workflows

Experience mentoring junior engineers and code reviewing

About Matrimony.com

Matrimony.com Ltd, a Great Place to Work Certified Wed-Tech company listed on the BSE and NSE, is a leader in matchmaking and wedding services. Its flagship brand, Bharat Matrimony, is the largest and most trusted matrimony brand (Brand Trust Report 2014) spanning customers across the entire economic strata. The company serves over 8 million members with the support of 2,900+ associates and a network of 130+ company-owned retail outlets.

Key Offerings

Matchmaking Services :

BharatMatrimony and 200+ matrimony brands

segmented on religion, languages, communities, and occupation.

Jodii :

An exclusive matchmaking app for non-degree holders in 9 Indian languages

Assisted Service and EliteMatrimony : Personalised services for the HNI, NRI and Premium segment of customers

Wedding Services : Wedding Bazaar :

Largest wedding services provider.

Mandap.com :

Largest online wedding venues platform.

MakeMyWedding :

Personalized & curated wedding planning services.

New Initiatives & Verticals

Astro Free Chat :

It is an exclusive app for any astrology consultation

ManyJobs :

Employment platform targeting grey collar workforce. In vernacular language for the Tamil Nadu market (initial phase) and with some of industry first features for both companies and candidates

Luv.com : A next generation serious relationship app.

International Presence

Matrimony.com has successfully expanded into international markets, with UAE operations thriving for 4+ years and Bangladesh operations commencing in 2021. With a mission to dominate the $55 billion wedding services industry.

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Data Engineering Lead • Delhi, India

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