Job Description

What is The Role

We are seeking a Staff Data Engineer to join our Data Engineering & Architecture team. In this role, you will contribute to our mission of building a world-class Data Platform. Your work will directly impact our strategy by making it easier for internal customers to leverage data as a strategic asset. This position offers an excellent opportunity to help craft critical initiatives that support real business outcomes.

What You Will Be Doing

• Assist in developing, implementing, and optimizing data pipelines using Apache Airflow for workflow orchestration.


• Develop and maintain ETL/ELT processes using Apache Spark, Apache Iceberg, and dbt.


• Implement real-time data streaming solutions using Apache Kafka and Apache Flink.


• Use Terraform for infrastructure-as-code to deploy resources on Google Cloud Platform (GCP).


• Document & Guide Users on Best Practices for using our platform.


• Monitor and Audit the Data Platform to ensure policies and procedures are maintained.


• Participate in code reviews to improve code quality and validate standard processes are met.


• Process Access Requests ensuring all approval processes are followed.

What You Bring

• Demonstrated interest in data engineering through personal projects, coursework, or contributions to open-source projects.


• Strong Analytical and Problem Solving Skills.


• Excellent Verbal and Written Communication Skills.


• Eagerness to learn and stay updated with the latest data engineering trends.


• Proficiency in programming languages, particularly Bash, Python, and SQL.


• Knowledge of database systems, including OLAP, OLTP, Document, and Vector databases.


• General understanding of data pipelines, ETL/ELT processes, data modeling, and data warehousing concepts.


• Basic Knowledge of Git and DevOps practices.


• Proficiency with data processing frameworks such as Kafka, Flink, and Spark.


• Experience with Apache Iceberg and Data Lake houses

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