Key Responsibilities :

- Design, develop, and maintain scalable and reliable data pipelines on GCP.

- Build and manage enterprise-grade data warehouses and analytical solutions using BigQuery.

- Develop robust data models and transformation workflows using dbt.

- Design and implement efficient ETL/ELT pipelines for structured and semi-structured data.

- Optimize BigQuery queries, data models, and workloads for performance, scalability, and cost efficiency.

- Work with large datasets and apply Big Data engineering principles to ensure reliable data processing.

- Develop reusable data engineering frameworks and best practices across projects.

- Implement data quality checks, validation, monitoring, and error-handling mechanisms.

- Use Git for version control and follow modern software engineering and CI/CD practices.

- Collaborate with data analysts, data scientists, product teams, and other engineering stakeholders to deliver reliable data solutions.

- Contribute to data governance, security, documentation, and overall data platform improvement.

Required Technical Skills :

- 7+ years of experience in Data Engineering or a related field.

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

- Strong expertise in BigQuery and cloud data warehousing.

- Advanced SQL skills, including query optimization and complex data transformations.

- Hands-on experience with dbt for data modeling and transformation.

- Strong understanding of ETL/ELT pipelines and modern data engineering architecture.

- Good understanding of Big Data concepts, distributed data processing, and scalable data platforms.

- Experience with Git/version control and software development best practices.

Good to Have :

- Experience with Apache Pinot or other real-time OLAP databases.

- Hands-on experience with streaming technologies such as Google Pub/Sub, Apache Kafka, or similar platforms.

- Exposure to real-time data processing and streaming pipelines.

- Knowledge of data governance, data quality, security, and metadata management.

- Experience with cloud-native data engineering and CI/CD practices.

Candidate Profile :

- Strong problem-solving and analytical skills with the ability to work with large and complex datasets.

- Experience designing scalable and production-grade data solutions.

- Strong understanding of data architecture and modern cloud data platforms.

- Ability to independently own data engineering projects and collaborate effectively with cross-functional teams.

- Strong communication and stakeholder-management skills.