Sr. Data Engineer

12 months contract 

Remote Role

Work Authorization:

Candidates must have authorization to work in the U.S. This role does not provide visa sponsorship now or in the future

Job Description :

What you’ll do:

• Design and develop high-performance, scalable, and reliable data models for our attribution and measurement platforms.

• Build and maintain robust ETL/ELT pipelines to ingest, transform, and load large datasets from various sources.

• Collaborate with data engineers and analysts to define semantic layers and ensure consistency across data sources

• Manage the end-to-end pixel tracking solution, ensuring high availability and low-latency data capture for critical measurement needs

• Implement and promote best practices for data governance, data quality, and data security.

• Enable self-service data access and analysis for stakeholders through well-designed data platforms and tools.

• Monitor data pipeline performance, troubleshoot issues, and optimize for efficiency and cost.

• Contribute to the overall architecture and strategy of our data platform.

Who you are:

• 12+ years of hands-on data engineering experience, with a strong track record of designing, building, and optimizing data platforms in high-volume or ad tech environments.

• A strong collaborator who thrives in a cross-functional setting, effectively communicating technical concepts to diverse audiences

• Strong SQL skills, including complex joins, aggregations, and performance tuning

• Experience working with semantic layers and data modeling for analytics

• Solid understanding of data analysis and visualization best practices

• Passionate about data quality and governance, with an eye for detail and a commitment to maintaining data integrity

• Experience using version control systems, preferably Git

• Excellent communication skills and the ability to work cross-functionally

• Familiarity with modern data warehousing platforms (e.g., Snowflake, BigQuery, Redshift)

• Experience working in cloud environments such as AWS, Google Cloud Platform, or Azure (nice to have)

•   Experience migrating from legacy BI tools (e.g., Tableau, Power BI, etc.) to Looker

• Experience working in agile data teams and managing BI projects

• Familiarity with dbt or other data transformation frameworks