Data Engineer

Yesterday

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Description

β€’ Design, automate, build, and launch scalable, efficient and reliable data pipelines into production using Python β€’ Design, build and enhance dimensional models for Data Warehouse and BI solutions β€’ Research new tools and technologies to improve existing processes β€’ Work closely with data analysts to understand data integration and modeling requirements β€’ Develop new systems and tools to enable the teams to consume and understand data more intuitively β€’ Perform root cause analysis and resolve production and data issues β€’ Create test plans, test scripts and perform data validation β€’ Tune SQL queries, reports and ETL pipelines β€’ Build and maintain data dictionary and process documentation β€’ Take ownership and can work autonomously

Requirements

β€’ 3+ years experience in data engineering with data warehouse technologies β€’ 3+ years experience in custom ETL design, implementation and maintenance β€’ 3+ years experience with schema design and dimensional data modeling β€’ Advanced skills with Python and SQL are a must β€’ Experience with one or more MPP databases(Redshift, Bigquery, Snowflake, etc) β€’ Experience with one or more ETL tools(Informatica, Pentaho, SSIS, Alooma, etc) β€’ Strong computer science fundamentals including data structures and algorithms β€’ Strong software engineering skills in any server side language, preferable Python β€’ Experienced in working collaboratively across different teams and departments β€’ Strong technical and business communication

Benefits

β€’ Competitive starting salary β€’ A discretionary annual bonus β€’ Long-term incentive in the form of a new hire equity grant β€’ Comprehensive health plans β€’ 401K with company matching β€’ Paid Parental Leave β€’ Flexible time off

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