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Tier-1 brand, mid-level generalist data role in metro with broad stack increases applicant competition.
Core data engineering skills are transferable across industries despite ad-tech context.
Explicit 5–7 years plus mandatory cloud, Snowflake/Databricks, SQL and Python makes shortlisting stringent.
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Design, develop, and manage scalable data pipelines and data solutions for analytics, reporting, and downstream applications.
Ensure data quality, governance, and lineage across platforms including Snowflake and Databricks, supporting accurate insights and compliance.
Collaborate cross-functionally to improve data sourcing, processing efficiency, and support junior engineers while enhancing internal tools and automation.
5-7 years of experience in Data Engineering.
Strong advanced SQL skills with query optimization expertise and proficiency in Python or similar programming languages.
Experience with cloud platforms (AWS, GCP, or Azure), Snowflake, Databricks, and exposure to distributed computing frameworks such as Apache Spark.
Bachelor's Degree preferred; combinations of relevant experience and coursework may be considered.
Experienced individual contributor capable of delivering complex data engineering solutions independently in cloud-based environments.
Proficient in advanced SQL, Python, and cloud data platforms with hands-on knowledge of data pipeline architecture and data quality management.
Comfortable mentoring junior engineers and driving improvements in internal data engineering frameworks and best practices.