Data Engineer 4
Core
Designing, building, and optimizing scalable data pipelines and platforms to support analytics, reporting, and downstream applications for a global ad-tech company.
Role type
Senior Data Engineer (Cloud & Data Warehouse)
Builds
Scalable data pipelines, ingestion frameworks, and transformation logic on cloud platforms.
Domain
Ad-tech / Media Technology / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Advanced SQL, Python, Distributed computing (Apache Spark), Cloud data warehouse management, Workflow orchestration (Airflow), Data modeling, Data observability, CI/CD implementation
Preferred skills
Snowflake, Databricks, AWS/GCP/Azure, Data lineage and impact analysis
Technologies
Snowflake, Databricks, Apache Spark, Airflow, dbt, AWS S3, Iceberg
Responsibilities
Develop data structures and pipelines to standardize and transform data; Ensure data quality across ingestion, processing, and loading; Create ingestion frameworks for structured and unstructured data; Establish methods for data consumption by end users and downstream applications; Implement data solutions on platforms like Snowflake and Databricks; Mentor junior data engineers.
Seniority
Senior, hands-on IC with mentorship responsibilities
