Software developer (Data Engineer)

Zoho; Chennai District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

CustomerLabs in Chennai, India, is hiring a Data Engineer to build the data infrastructure behind our marketing platform. You’ll design scalable ETL/ELT pipelines, data ingestion, warehouses, and data models to support analytics and campaign insights.

You will collaborate with Data Scientists, Analysts, Product Managers, and business stakeholders to ensure data quality, security, and compliance while optimizing performance for high-volume marketing data.

Qualifications

• 3+ years of data engineering or related experience.
• Hands-on in building ETL/ELT pipelines.
• Experience with a cloud data platform, specifically GCP.
• Strong Python and SQL skills; Golang is preferred.
• Experience with PostgreSQL, MySQL, and Redis.
• Experience with Spark, Kafka, Airflow, DBT, or Data form.
• Experience with GCP services including BigQuery and related data services.
• Working knowledge of Git/GitHub and Docker.
• Excellent problem-solving, analytical thinking, and collaboration.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines and data-ingestion frameworks.
• Collect and process data from databases, APIs, files, and streaming sources.
• Build and optimize data warehouses and data-lake solutions.
• Create data models and schemas for analytics, attribution, customer journeys, and campaign performance.
• Implement data transformation, cleaning, governance, monitoring, and alerting.
• Ensure data quality, integrity, security, privacy, and compliance across marketing data systems.
• Troubleshoot pipeline issues, perform performance tuning, and support capacity planning.
• Collaborate with Data Scientists, Analysts, Product Managers, and business stakeholders.

Skills

Python

SQL

ETL pipelines

GCP

Data modeling

Communication

Problem-solving

Tools

Airflow

DBT

Kafka

Spark

PostgreSQL

MySQL

Redis

Docker

Git/GitHub

Job description

Not a fan of long JDs? take a minute to watch our video JD, it’ll give you a real feel of the role, growth and glimpse of your manager as well here : https://tinyurl.com/3wzr5nty

About CustomerLabs

CustomerLabs isa fast-growing B2B SaaS company helping businesses maximize the value of theirfirst-party customer data. Our platform helps marketers collect, unify, andactivate customer data to improve marketing performance and drive measurablegrowth.

About the Role

You’ll buildthe data infrastructure behind CustomerLabs' marketing platform. The rolecovers scalable pipelines, warehouses, data models, quality, monitoring, andreal-time data processing so teams can reliably work with high-volume marketingdata.

What You'll Do

• Design, build, and maintain scalable ETL/ELT pipelines anddata-ingestion frameworks.
• Collect and process data from databases, APIs, files, and streamingsources.
• Build and optimize data warehouses and data-lake solutions.
• Create data models and schemas for analytics, attribution, customerjourneys, and campaign performance.
• Implement data transformation, cleaning, governance, monitoring, andalerting.
• Ensure data quality, integrity, security, privacy, and complianceacross marketing data systems.
• Troubleshoot pipeline issues, perform performance tuning, andsupport capacity planning.
• Collaborate with Data Scientists, Analysts, Product Managers, andbusiness stakeholders.

Must-Have

• 3+ years of experience in data engineering or a related role.
• Hands-on experience building ETL/ELT pipelines.
• Experience with a cloud data platform, specifically GCP.
• Strong Python and SQL skills; Golang is preferred.
• Experience with PostgreSQL, MySQL, and Redis.
• Experience with tools such as Spark, Kafka, Airflow, DBT, or Data form.
• Experience with GCP services including BigQuery and related dataservices.
• Working knowledge of Git/GitHub and Docker.
• Strong problem-solving, analytical thinking, communication, andcollaboration.

Good to Have

• Real-time data processing and streaming experience.
• Knowledge of machine-learning pipelines and MLOps.
• Experience with data governance or data catalogue tools.
• Familiarity with BI tools such as Tableau, Power BI, Looker,Superset, or Metabase.
• Experience using AI tools such as Cursor, Claude, Copilot, ChatGPT,or Gemini to accelerate development.

Success in This Role

• Pipelines are reliable, scalable, observable, and easy to maintain.
• Data is accurate and available for analytics and product use cases.
• Performance and reliability improve as data volume and complexitygrow.

Why CustomerLabs?

Welcome to the Average Kootam — A place where you’retrusted to own your work, make decisions, learn from the experience, and keepmoving forward. You’ll know what you’re working towards, have the freedom togrow into bigger responsibilities, and see the impact of what you do. Teams heredon’t work in isolation Sales, Marketing, Design, Engineering, and others workclosely, challenge ideas, and build better things together. And when we’re notbuilding, we make time to learn, connect, have fun, and bring the whole Kootamtogether.

Wanna know more about us? Connect withus:

Would you like to knowour stories? Catch up on what we're up to on the LinkedIn page of our HR Team - Devarshini , Aswin , Kunguma !Take a sneak peek at our behind the scenes fun at our team-run Instagram.page .

Want to bypass all this and get a coffeewith us at our office? Let us know here !