Data Engineer

About CustomerLabs

CustomerLabs is a fast-growing B2B SaaS Customer Data Platform (CDP) helping businesses maximize the value of their first-party customer data. Our platform helps marketers collect, unify, and activate customer data across ad platforms, analytics tools, and CRMs — for better marketing performance and measurable growth.

The Role

Join CustomerLabs' data team and build the pipelines, warehouses, and analytics platforms that turn raw marketing data into insights our product runs on.

You'll work with Data Scientists, Product Managers, and MarTech specialists to move data cleanly from marketing channels, ad platforms, and customer touchpoints into dashboards and reporting — built to handle high-volume, real-time campaign analytics.

What You'll Own

● Design, build, and maintain scalable ETL/ELT pipelines and data ingestion frameworks.

● Build and optimize data warehouses and data lakes for marketing analytics.

● Create data models and schemas for attribution, customer journey analysis, and campaign performance.

● Implement monitoring and alerting to keep pipelines reliable for critical marketing operations.

● Ensure data quality, security, and compliance (GDPR, CCPA) across all marketing data systems.

● Collaborate with product teams to translate marketing requirements into technical solutions.

What We're Looking For

Must Have:

● 4+ years of experience in data engineering or a related role.

● Proven ETL/ELT pipeline development experience.

● Experience with a cloud data platform (GCP) and big data technologies.

● Programming: Python, SQL (Golang preferred).

● Databases: PostgreSQL, MySQL, Redis.

● Big data tools: Apache Spark, Kafka, Airflow, DBT, Dataform.

● GCP stack: BigQuery, Dataflow, Cloud Run, Cloud SQL, Cloud Storage, Pub/Sub, App Engine, Compute Engine.

● Data visualization: Superset, Looker, Metabase, or Tableau.

● Git/GitHub and Docker.

● Strong problem-solving, communication, and attention to data quality.

Nice to Have

● Real-time data processing and streaming experience.

● Knowledge of ML pipelines and MLOps.

● Experience with data governance and data catalog tools.

● Familiarity with BI tools like Tableau or Power BI.

● Comfortable using AI tools (Cursor, Claude, Copilot, ChatGPT, Gemini) to speed up coding, automate tasks, or assist system design.

How You'll Make an Impact

● Keep marketing data pipelines reliable, accurate, and available.

● Improve data quality and compliance across every marketing data system.

● Enable faster, more confident reporting and campaign decisions.

● Cut pipeline downtime through proactive monitoring and alerting.

Why CustomerLabs

● Own core data infrastructure behind a real product, not a side project.

● Work cross-functionally with Data Science, Product, and MarTech.

● Get hands-on with a modern cloud and big-data stack (GCP, Spark, Kafka, Airflow).

● Use AI tools freely to move faster on real engineering work.

Role Details

Experience: 4+ Years

Location: Teynampet

Employment Type: Full Time

Department: Engineering