Description

You will provide technical leadership and oversight for a sub-team developing a new data warehouse hosted on Google Cloud.

Responsibilities

• Lead technical oversight for developers in Eastern Europe and coordinate with technical leads in California.
• Design and build ETL/ELT pipelines using Composer (Airflow) and Java Dataflow (Beam).
• Advise the Data Warehouse Technical Lead on technical options and best practices for pipelines and warehouse architecture.
• Analyze source data and collaborate with consumers to define output table schemas.
• Perform design and code reviews and maintain technical documentation for engineers and analysts.

Required Skills

• 2+ years of experience with ETL/ELT processes specifically for BigQuery.
• 2+ years of experience with Apache Airflow using Python.
• Proficiency in Java programming and SQL scripting.
• Experience with Python for data engineering tasks.
• Ability to write clear, concise technical documentation and explanations in English.
• Capacity to work flexible hours with overlap across multiple time zones (e.g., 9 am to 5 pm UTC).

Preferred Skills

• 3+ years of experience in data warehousing, target schema design, and pipeline implementation.
• 3+ years of development experience on Google Cloud Platform.
• Experience with Apache Beam in Java and Google Cloud Composer.
• Knowledge of Google Cloud Cortex, Datastream, Data Catalog, and Looker.
• Experience with IntelliJ, Gradle, Google Cloud Storage, CI/CD, and GitHub.
• Google Cloud Professional Data Engineer certification.

Key Skills

Education

Any Graduate