Senior Data Engineer –Google Cloud Platform

Job Title: Senior Data Engineer –Google Cloud Platform
Experience: 12–14 Years
Job Type: Contract
Location: [Remote / Hybrid / Onsite – TBD]

Job Summary

We are looking for an experienced Senior Data Engineer with strong hands-on expertise in Google Cloud Platform (Google Cloud Platform) to design, develop, and maintain scalable cloud-based data engineering and analytics solutions.

The ideal candidate will have 12–14 years of overall IT experience with strong experience in Data Engineering, Google Cloud Platform, data warehousing, ETL/ELT, SQL, Python, and large-scale data processing.

The candidate should have extensive hands-on experience with core Google Cloud Platform data services such as BigQuery, Dataflow, Cloud Storage, Pub/Sub, and Cloud Composer/Airflow and should be capable of designing and optimizing enterprise-level data pipelines.

Mandatory Skills

Google Cloud Platform – Strong / Mandatory

·         Strong hands-on experience with Google Cloud Platform (Google Cloud Platform).

·         Strong experience with BigQuery.

·         Hands-on experience with Dataflow / Apache Beam.

·         Experience with Google Cloud Storage (GCS).

·         Experience with Cloud Composer / Apache Airflow.

·         Experience with Pub/Sub.

·         Strong understanding of Google Cloud Platform data architecture and cloud services.

Key Responsibilities

·         Design, develop, and maintain scalable data pipelines on Google Cloud Platform.

·         Build end-to-end ETL/ELT workflows for structured and unstructured data.

·         Develop complex data transformations using Python and SQL.

·         Design and optimize data warehouse solutions using BigQuery.

·         Develop and maintain data processing pipelines using Dataflow / Apache Beam.

·         Implement data ingestion and storage solutions using Google Cloud Storage (GCS).

·         Develop workflow orchestration using Cloud Composer / Apache Airflow.

·         Build batch and real-time data processing solutions using appropriate Google Cloud Platform services.

·         Work with Pub/Sub for event-driven and streaming data pipelines.

·         Optimize BigQuery queries, data pipelines, and Google Cloud Platform resources for performance and cost.

·         Implement data quality, validation, reconciliation, and error-handling processes.

·         Troubleshoot complex data pipeline and production issues.

·         Design data models for analytical and reporting requirements.

·         Collaborate with Data Architects, Data Scientists, Analysts, Developers, and business stakeholders.

·         Participate in technical design discussions, code reviews, testing, deployment, and production support.

·         Follow best practices for cloud security, scalability, reliability, and data governance.

·         Mentor junior and mid-level data engineers and provide technical guidance.