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Key job responsibilities
- Define and execute a research & development roadmap that drives data-informed decision making for marketers and advertisers
- Establish and drive data hygiene best practices to ensure coherence and integrity of data feeding into production ML/AI solutions
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
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