Data Engineer
hace 2 meses
Responsibilities:
Build and maintain ETL pipelines utilizing Python that connect 1st and 3rd party data
Work with Cloud Computing Platforms (GCP/AWS), Luigi, Kafka and other open-source technologies
Conduct data modeling, schema design, and SQL development
Ingest and aggregate data from both internal and external data sources to build our world class datasets
Develop and lead the testing and fixing of new or enhanced solutions for data products and reports, including automating ETL testing
Collaborate with Product Owner and domain experts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
Assist with the development and review of technical and end user documentation including ETL workflows, research, and data analysis
Work with Product team to define data collection and engineering frameworks
Build monitoring dashboards and automate data quality testing
Responsible for daily integrity checks, performing deployments and releases
Own meaningful parts of our service, have an impact, grow with the company
Qualifications:
3+ years of Python, SQL, and ETL development
Bachelors or Masters degree in Computer Science or other related field
Product / reporting suite experience
Familiarity with C#,.Net, Kafka, Docker
Exposure to front end development: HTML, JavaScript, jQuery, Angular or similar libraries
Exposure / familiarity with Google Cloud Platform / BigQuery / Amazon Redshift
AdTech experience preferred
Enthusiastic about working with and exploring new data sets
Detail oriented and strong communicator
Pay: $30,000.00 - $60,000.00 per month
Work Location: Remote
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