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Data Engineer (9797038)

Build and launch efficient & reliable data pipelines to move and transform data (both large and small amounts)

Optimize and maintain existing pipelines, ensuring that data arrives accurately and on-time

Build and ensure data tables can serve as the source of truth for various high-level priorities

Create scripts to automate operational processes

Work cross-functionally to define problem statements, collect data, and make recommendations

Build data expertise and own data quality for allocated areas of ownership

Define and manage SLA for all data sets in allocated areas of ownership

Work with data infrastructure to triage infra issues and drive to resolution

Support on-call shift as needed to support the team

Build visualization to drive business decisions

Minimum Qualifications

 

BS/BTech in Computer Science, Math or related field

4+ years experience in the data warehouse space

4+ custom ETL/data pipeline design, implementation and maintenance years 

4+ of SQL (Oracle, Vertica, Hive, etc.) or relational database 

4+ experience (Oracle, MySQL) writing queries

Experience with programming languages, Python

Experience with data architecture, data modeling, schema design and software development

Experience with large data sets, Hadoop, and data visualization tools

Experience initiating and driving projects, and communicating data warehouse plans to internal clients/stakeholders

Familiar with version control systems (git, mercurial, etc.)

BS/MS in Computer Science or a related technical field

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