GCP Data Engineer

We are seeking an experienced Data Engineer with a strong background in data engineering, cloud technologies, and modern data storage systems. The ideal candidate will be responsible for designing, building, and optimizing scalable data pipelines, ETL/ELT workflows, and data models that support high-performance analytics and reporting.

Key Responsibilities:

• Design, develop, and optimize ETL/ELT pipelines for scalable and efficient data processing.
• Build and maintain data models, ensuring optimal performance and data quality for reporting and analytics.
• Implement and manage data integration workflows using tools such as Airflow, dbt, Kafka, or Spark.
• Collaborate with analytics and business teams to understand data needs and deliver solutions.
• Ensure robust data governance, including data quality, integrity, and security.

Required Skills and Experience:

• Strong expertise in SQL, including:
• Writing complex joins
• Developing stored procedures
• Executing certificate-auth-based queries
• Hands-on experience with NoSQL databases such as Firestore, DynamoDB, or MongoDB.
• Proficiency in data warehousing solutions:
• Preferred: Google BigQuery
• Others: Amazon Redshift, Snowflake
• Programming skills in PySpark, Python, or Scala.
• Experience working with Google Cloud Platform (GCP).
• Strong understanding of data modeling principles and best practices.

Preferred/Good-to-Have:

• Experience with data visualization tools:
• Google Looker Studio, LookerML, Power BI, or Tableau
• Exposure to Master Data Management (MDM) systems.
• Interest or experience in Web3 data and blockchain analytics.