Bachelor's degree in Computer Science or a related engineering field.
5+ years of proven experience in data engineering roles.
Expertise in designing, building, monitoring, and scaling data engineering pipelines.
Hands-on experience with workflow orchestration tools such as Apache Airflow for designing, scheduling, and managing complex data pipelines.
Proficient in modern data programming languages, including Python and Go.
Extensive hands-on experience with cloud platforms, specifically AWS and GCP.
Proficient with data warehousing technologies, including Google BigQuery and Snowflake.
Proficient in SQL for diverse data sources, leveraging tools such as DBT for data modeling, schema design, incremental strategies, and query optimization.
Looker and LookML expertise, with a focus on data preparation and modeling to support analysis and efficient visualizations.
Software development operations management experience, including CI/CD pipelines, grounded in agile methodologies
Strong English communication skills for effective cross-functional collaboration
Highly organized with the ability to prioritize tasks and manage projects aligned to business goals
Skilled at setting clear priorities to drive project success
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