DSP - Data Engineer

Responsibilities

• Design, implement, and manage end-to-end data pipelines (ETL, data streaming, and warehousing) to ensure data is easily accessible for analysis.

• Integrate with third-party APIs for accessing external data

• Create and maintain data warehouses for reporting or analysis

• Consult and partner with engineering and product teams to execute data-related product initiatives

• Evaluate existing tools/solutions for every new use case and build one if necessary

• Willingness to take end to end ownership and being accountable for the success of the product.

• Experience in architecting & building real-time data pipelines.

• Break down business requirements into technical solutions at global scale

• At least have 3 years of experience in Data Engineering role

• Ability to write clean and structured in SQL, bash scripts, and Python (or similar languages)

• Solid understanding of database technologies

• Experience in building automated, scalable, and robust data processing systems

• Experience with building ETL, data warehouse systems (e.g. Athena/Bigquery) and batch/semi-online building blocks (e.g. MapReduce, Spark)

• Experience in working with large scale quantitative data using Spark or similar technologies

• Ability to quickly resolve performance and systems incidents

• Big Data/ML experience is a plus

• Experience with RTB, Google IMA SDK, VAST, VPAID, Header bidding is a plus

• Past experience in product companies would be a big plus.

All your information will be kept confidential according to EEO guidelines.