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Tier-1 brand, mid-level generalist data engineer title, and common skillset increase applicant density.
Core data engineering skills are broadly transferable, though adtech domain experience is beneficial.
Explicit 5-7 years requirement plus mandatory Snowflake, Databricks, SQL, cloud, and CI/CD increase filter strictness.
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Designs, develops, and manages scalable data pipelines and structures to support analytics, reporting, and downstream applications.
Ensures data quality, governance, lineage, and compliance for reliable data delivery across cloud platforms such as Snowflake and Databricks.
Acts as senior technical resource optimizing data processes, supporting junior engineers, and contributing to internal tool and framework improvements.
4-7 years of Data Engineering experience.
Advanced SQL skills with query writing and optimization expertise.
Proficiency in Python or similar programming language.
Experience with cloud platforms (AWS, GCP, or Azure) and data platforms like Snowflake or Databricks.
Experienced in building and optimizing complex, cloud-based data pipelines and data warehousing solutions at scale.
Capable of independently handling advanced data engineering tasks while mentoring junior team members.
Familiar with distributed computing frameworks (e.g., Apache Spark), CI/CD, workflow orchestration (dbt, Airflow), and automation in data engineering environments.