Sr. Data Engineer, tvScientific

What you'll do:

• Implement robust data infrastructure in AWS, using Spark with Scala
• Evolve our core data pipelines to efficiently scale for our massive growth
• Store data in optimal engines and formats
• Collaborate with our cross-functional teams to design data solutions that meet business needs
• Build out fault-tolerant batch and streaming pipelines
• Leverage and optimize AWS resources while designing for scale
• Collaborate closely with our Data Science and Product teams

How we'll define success:

• Successful implementation of scalable and efficient data infrastructure
• Timely delivery and optimization of data assets and APIs
• High attention to detail in implementation of automated data quality checks
• Effective collaboration with cross-functional teams

What we're looking for:

• Production data engineering experience
• Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala
• Familiarity with data lakes, cloud warehouses, and storage formats
• Strong proficiency in AWS services
• Expertise in SQL for data manipulation and extraction
• Excellent written and verbal communication skills
• Bachelor's degree in Computer Science or a related field

Nice-to-Haves:

• Experience in adtech
• Experience implementing data governance practices, including data quality, metadata management, and access controls
• Strong understanding of privacy-by-design principles and handling of sensitive or regulated data
• Familiarity with data table formats like Apache Iceberg, Delta