CustomerLabs is
a fast-growing B2B SaaS company helping businesses maximize the value of their
first-party customer data. Our platform helps marketers collect, unify, and
activate customer data to improve marketing performance and drive measurable
growth.
You'll build
the data infrastructure behind CustomerLabs' marketing platform. The role
covers scalable pipelines, warehouses, data models, quality, monitoring, and
real-time data processing so teams can reliably work with high-volume marketing
data.
· 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.
· 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
Dataform.
· Experience with GCP services including BigQuery and related data
services.
· Working knowledge of Git/GitHub and Docker.
· Strong problem-solving, analytical thinking, communication, and
collaboration.
· Real-time data processing and streaming experience.
· Knowledge of machine-learning pipelines and MLOps.
· Experience with data governance or data catalog 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.
· 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 complexity
grow.
Welcome to the Average Kootam — A place where you’re
trusted to own your work, make decisions, learn from the experience, and keep
moving forward. You’ll know what you’re working towards, have the freedom to
grow into bigger responsibilities, and see the impact of what you do. Teams here
don’t work in isolation Sales, Marketing, Design, Engineering, and others work
closely, challenge ideas, and build better things together. And when we’re not
building, we make time to learn, connect, have fun, and bring the whole Kootam
together.
Wanna know more about us? Connect with
us:
We're active on LinkedIn, Instagram talking
about what we do at CustomerLabs.
Would you like to know
our 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 coffee
with us at our office? Let us know here!
