Cloud Data Engineer (GCP)

Overview

Role: Cloud Data Engineer (GCP)

Experience: 8+ Years

Location: India (Hybrid/Remote)

Notice Period: Immediate to 15 days max.

Job Description:

Required Skills: Python, ETL, SQL, GCP, Bigquery, Pub/Sub, Airflow.

Good to Have: DBT, Data mesh

Job Title: Senior GCP Engineer – Data Mesh & Data Product Specialist

We are hiring a Senior GCP Developer to join our high-performance data engineering team. This is a mission-critical role where you will design, build, and maintain scalable ETL pipelines and frameworks in a Data Mesh architecture. You will work with modern tools like Python, dbt, BigQuery (GCP), and SQL to deliver high-quality data products that power decision-making across the organization.

We are looking for a highly skilled professional who thrives in demanding environments, takes ownership of their work, and delivers results with precision and reliability.

Key Responsibilities

* Design, Build, and Maintain ETL Pipelines: Develop robust, scalable, and efficient ETL workflows to ingest, transform, and load data into distributed data products within the Data Mesh architecture.

* Data Transformation with dbt: Use dbt to build modular, reusable transformation workflows that align with the principles of Data Products.

* Cloud Expertise: Leverage Google Cloud Platform (GCP) services such as BigQuery, Cloud Storage, Pub/Sub, and Dataflow to implement highly scalable data solutions.

* Data Quality & Governance: Enforce strict data quality standards by implementing validation checks, anomaly detection mechanisms, and monitoring frameworks.

* Performance Optimization: Continuously optimize ETL pipelines for speed, scalability, and cost efficiency.

* Collaboration & Ownership: Work closely with data product owners, BI developers, and stakeholders to understand requirements and deliver on expectations. Take full ownership of your deliverables.

* Documentation & Standards: Maintain detailed documentation of ETL workflows, enforce coding standards, and adhere to best practices in data engineering.

* Troubleshooting & Issue Resolution: Proactively identify bottlenecks or issues in pipelines and resolve them quickly with minimal disruption.

Required Skills & Experience

* 10+ or 7+ years of hands-on experience in designing and implementing ETL workflows in large-scale environments (Lead & Dev)

* Advanced proficiency in Python for scripting, automation, and data processing.

* Expert-level knowledge of SQL for querying large datasets with performance optimization techniques.

* Deep experience working with modern transformation tools like dbt in production environments.

* Strong expertise in cloud platforms like Google Cloud Platform (GCP) with hands-on experience using BigQuery.

* Familiarity with Data Mesh principles and distributed data architectures is mandatory.

* Proven ability to handle complex projects under tight deadlines while maintaining high-quality standards.

* Exceptional problem-solving skills with a strong focus on delivering results.

Job Type: Permanent

Pay: ₹3,000,000.00 - ₹4,500,000.00 per year

Schedule:

• Day shift
• Monday to Friday

Experience:

• Python: 4 years (Required)
• ETL: 4 years (Required)
• SQL: 5 years (Required)
• Bigquery: 3 years (Required)
• Airflow: 3 years (Required)
• Data Mesh: 4 years (Required)
• GCP: 7 years (Required)
• Data Products: 5 years (Required)

Work Location: Remote