GCP Data Engineer

experience 6-10 years

 Design, build, and maintain scalable ETL/ELT pipelines for batch and real-time data ingestion and transformation.

• Develop and optimize data lake and data warehouse architectures (e.g., Snowflake, BigQuery, Redshift).

• Work with cloud platforms GCP, Azure to manage data infrastructure.

• GCP as mandatory skills

• Collaborate with analytics and product teams to understand data needs and deliver solutions.

• Ensure data quality, reliability, security, and compliance across all data systems.

• Mentor junior data engineers and contribute to best practices and code reviews.

• Monitor and troubleshoot data pipeline performance and resolve data-related issues.

• Automate data validation, monitoring, and alerting processes.

• 8+ years of experience in data engineering or software engineering with a data focus.

• Proficient in SQL and at least one programming language (e.g., Python, Scala, Java).

• Experience with modern data warehousing tools (e.g., Snowflake, Redshift, BigQuery).

• Strong understanding of data modeling, data lakes, and ETL/ELT design.

• Hands-on experience with orchestration tools like Airflow, dbt, or similar.

• Solid experience with cloud data platforms (AWS/GCP/Azure).

• Familiarity with CI/CD pipelines, containerization (Docker/Kubernetes), and version control (Git).

• Experience working in a DevOps or DataOps environment.

• Knowledge of data governance, lineage, and cataloging tools (e.g., Collibra, Alation).

• Familiarity with streaming technologies (Kafka, Spark Streaming, Flink).

• Experience supporting machine learning workflows and data science initiatives