GCP Data Engineer

We are looking for an experienced Data Engineer with a solid background in data engineering, cloud storage, and modern data platforms. The ideal candidate will be responsible for building scalable data pipelines, ETL/ELT workflows, and data models to support high-quality analytics and reporting.

Key Responsibilities:

• Design, develop, and optimize scalable data pipelines and ETL/ELT workflows.
• Build robust data models to support business intelligence and advanced analytics.
• Work with structured and unstructured data across a range of databases and storage solutions.
• Collaborate with analytics, product, and engineering teams to support data needs across the organization.
• Ensure data quality, performance, and governance across the pipeline lifecycle.

Required Skills and Experience:

• Strong expertise in SQL, including complex joins, stored procedures, and certificate-authenticated queries.
• Experience with NoSQL databases such as:
• Firestore
• DynamoDB
• MongoDB
• Proficiency in data warehousing and data modeling using platforms such as:
• BigQuery (preferred)
• Redshift
• Snowflake
• Hands-on experience with ETL/ELT tools and frameworks, including:
• Apache Airflow
• dbt
• Kafka
• Apache Spark
• Proficiency in Python, PySpark, or Scala for data transformation and automation.
• Strong practical knowledge of Google Cloud Platform (GCP) and its native services.

Preferred Skills:

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