Company Overview :
Coders Brain Technology & Private Limited is a global technology consulting and staffing firm that specializes in delivering high-end digital transformation solutions. Operating across diverse sectors including banking, healthcare, retail, and telecommunications, the company provides specialized engineering talent and strategic IT services to Fortune 500 clients. With a focus on scalable architecture and cloud-native development, Coders Brain empowers enterprises to modernize their technology stacks and accelerate time-to-market for critical business applications.
Role Overview :
We are seeking a seasoned GCP Data Engineer to join our Bangalore team to lead complex data initiatives for our enterprise clients. In this role, you will act as a technical authority, designing and deploying robust data pipelines and cloud-native architectures that transform raw data into actionable business intelligence.
You will collaborate closely with cross-functional stakeholders, including data scientists and business analysts, to ensure data integrity and performance. Your work will directly influence the scalability of our clients' data ecosystems, enabling them to make data-driven decisions with speed and precision.
Key Responsibilities :
- Architect and implement scalable data ingestion and processing pipelines on Google Cloud Platform to support high-volume data requirements for global clients.
- Lead end-to-end cloud migration projects, transitioning legacy on-premise data warehouses to BigQuery to enhance query performance and cost-efficiency.
- Optimize complex SQL queries and data models to ensure high availability and low latency for downstream reporting and analytics applications.
- Collaborate with infrastructure and security teams to implement robust data governance, ensuring compliance with industry standards and data privacy regulations.
- Mentor junior engineering team members by conducting code reviews and establishing best practices for data engineering workflows and documentation.
Required Skillset :
- Demonstrated expertise in designing and managing large-scale data solutions using Google Cloud Platform services such as BigQuery, Dataflow, Dataproc, and Pub/Sub.
- Advanced proficiency in SQL for complex data manipulation, performance tuning, and schema design in cloud-native environments.
- Proven experience in executing large-scale cloud migration strategies, including data mapping, validation, and cutover planning.
- Strong analytical and problem-solving abilities, with the capacity to communicate complex technical concepts to non-technical stakeholders effectively.
- Ability to thrive in a hybrid work environment in Bangalore, maintaining high levels of productivity and collaboration within distributed project teams.
- Possession of a Bachelor's or Master's degree in Computer Science, Information Technology, or a related quantitative field.
- Minimum of 8 to 12 years of professional experience in data engineering and cloud infrastructure development.