GCP Data Engineer

CustomerLabs Inc; Chennai; On-site; INR 800,000 - 1,200,000; Full time

Job summary

CustomerLabs Inc is looking for a Data Engineer to transform raw marketing data into actionable insights. You will design robust data pipelines and optimize data warehouses to support digital marketing analytics. The ideal candidate has over 2 years of experience in data engineering, strong expertise in ETL/ELT development, and familiarity with Google BigQuery and cloud platforms like GCP. This position offers an opportunity to collaborate with cross-functional teams, focusing on data quality and compliance.

Qualifications

• 2+ years of experience in data engineering or related roles.
• Proven experience with ETL/ELT pipeline development.
• Experience with cloud data platforms (GCP).
• Experience with big data technologies.

Responsibilities

• Design and implement enterprise-grade data pipelines for marketing data ingestion and processing.
• Build and optimize data warehouses and data lakes to support digital marketing analytics.
• Ensure data quality, security, and compliance across all marketing data systems.
• Collaborate with product teams to understand digital marketing requirements.

Skills

ETL/ELT pipeline development

Cloud data platform (GCP)

Big data technologies

Google BigQuery

Git/GitHub

Docker

Tools

Tableau

Power BI

Looker

Job description

Position Overview

Join CustomerLabs' dynamic data team as a Data Engineer and play a pivotal role in transforming raw marketing data into actionable insights that power our digital marketing platform. As a key member of our data infrastructure team, you will design, develop, and maintain robust data pipelines, data warehouses, and analytics platforms that serve as the backbone of our digital marketing product development.

What You'll Do

• Design and implement enterprise‑grade data pipelines for marketing data ingestion and processing
• Build and optimize data warehouses and data lakes to support digital marketing analytics
• Ensure data quality, security, and compliance across all marketing data systems
• Create data models and schemas that support marketing attribution, customer journey analysis, and campaign performance tracking
• Develop monitoring and alerting systems to maintain data pipeline reliability for critical marketing operations
• Collaborate with product teams to understand digital marketing requirements and translate them into technical solutions

Key Responsibilities

• Design, build, and maintain robust, scalable data pipelines and ETL/ELT processes
• Develop data ingestion frameworks to collect data from various sources (databases, APIs, files, streaming sources)
• Implement data transformation and cleaning processes to ensure data quality and consistency
• Optimize data pipeline performance and reliability

Data Infrastructure Management

• Design and implement data warehouse architectures
• Manage and optimize database systems (SQL and NoSQL)
• Implement data lake solutions and data governance frameworks
• Ensure data security, privacy, and compliance with regulatory requirements

Data Modeling and Architecture

• Design and implement data models for analytics and reporting
• Create and maintain data dictionaries and documentation
• Develop data schemas and database structures
• Implement data versioning and lineage tracking

Data Quality, Security, and Compliance

• Ensure data quality, integrity, and consistency across all marketing data systems
• Implement and monitor data security measures to protect sensitive information
• Ensure privacy and compliance with regulatory requirements (e.g., GDPR, CCPA)
• Develop and enforce data governance policies and best practices

Collaboration and Support

• Work closely with Data Scientists, Analysts, and Business stakeholders
• Provide technical support for data‑related issues and queries

Monitoring and Maintenance

• Implement monitoring and alerting systems for data pipelines
• Perform regular maintenance and optimization of data systems
• Troubleshoot and resolve data pipeline issues
• Conduct performance tuning and capacity planning

Required Qualifications

Experience

• 2+ years of experience in data engineering or related roles
• Proven experience with ETL/ELT pipeline development
• Experience with cloud data platform (GCP)
• Experience with big data technologies

Technical Skills

• Google BigQuery
• Git, GitHub
• Docker

Soft Skills

• Strong problem‑solving and analytical thinking
• Excellent communication and collaboration skills
• Ability to work independently and in team environments
• Strong attention to detail and data quality
• Continuous learning mindset

Preferred Qualifications

Additional Experience

• Experience with real‑time data processing and streaming
• Knowledge of machine learning pipelines and MLOps
• Experience with data governance and data catalog tools
• Familiarity with business intelligence tools: Tableau, Power BI, Looker, etc.
• Experience using AI‑powered tools such as Cursor, Claude, Copilot, ChatGPT, Gemini to accelerate coding or system design

Interview Process

• Initial Screening: Phone or video call with HR
• Final Interview: Discussion with senior leadership

Our Team Culture

We work together, we grow together, we succeed together.

We Believe In

• Innovation First – pushing the boundaries of what’s possible
• Team Over Individual – stronger together than apart
• Continuous Learning – always evolving and improving
• Making a Difference – fighting for better marketing strategies

Growth Journey

There is no charge for awesomeness.