Senior Data Engineer
3 weeks ago
Build and maintain multiple data pipelines to ingest new data sources (API and file-based) and support products used by both external users and internal teams.
Optimize by building tools to evaluate and automatically monitor data quality, develop automated scheduling, testing, and distribution of feeds.
Work with our data science and product management teams to design, rapid prototype, and productize new data product ideas and capabilities.
Work with the data engineering team to design new data pipelines and optimize the existing data pipelines.
Conquer complex problems by finding new ways to solve with simple, efficient approaches with a focus on reliability, scalability, quality, and cost of our platforms.
Build processes supporting data transformation, data structures metadata, and workload management.
Collaborate with the team to perform root cause analysis and audit internal and external data and processes to help answer specific business questions.
What will you bring to us?
5+ years of professional Dimensional Data Warehousing/Data Modeling and Big Data Experience
Strong skills to write complex, highly-optimized SQL queries across large volumes of data
Experience working directly with data analytics to bridge business requirements with data engineering.
Experience with AWS infrastructure
Excellent troubleshooting and problem-solving skills
Ability to operate in an agile, entrepreneurial start-up environment, and prioritize
Excellent communication and teamwork, and a passion for learning
Curiosity and passion for data, visualization, and solving problems
Willingness to question the validity, accuracy of data and assumptions
Preferred Qualifications:
Experience with Redshift, Snowflake, or other MPP databases is a plus.
Knowledge for ETL/ELT tools like Informatica, IBM DataStage, or SaaS ETL tools is a plus.
Experience with Tableau or other reporting tools is a plus.
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