This is a remote position.
We are seeking Data engineers to work crossfunctionally with software engineering data science and product management to optimize growth strategy.
Responsibilities:
- Conceptualize and own the data architecture for multiple largescale projects while evaluating design and operational costbenefit tradeoffs within systems.
- Create and contribute to frameworks that improve the efficacy of logging data while working with data infrastructure to triage issues and resolve.
- Collaborate with engineers product managers and data scientists to understand data needs representing key data insights visually in a meaningful way.
- Define and manage SLA for all data sets in allocated areas of ownership.
- Determine and implement the security model based on privacy requirements confirm safeguards are followed address data quality issues and evolve governance processes within allocated areas of ownership.
- Design build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
- Solve our most challenging data integration problems utilizing optimal ETL patterns frameworks query techniques sourcing from structured and unstructured data sources.
- Assist in owning existing processes running in production optimizing complex code through advanced algorithmic concepts.
- Optimize pipelines dashboards frameworks and systems to facilitate easier development of data artifacts.
- Influence product and crossfunctional teams to identify data opportunities to drive impact.
- Mentor team members by giving/receiving actionable feedback.
Requirements
- Bachelors degree in Computer Science Computer Engineering relevant technical field or equivalent practical experience.
- 5 years experience in the data warehouse space.
- 5 years experience in custom ETL design implementation and maintenance.
- 5 years experience with objectoriented programming languages.
- 7 years experience with schema design and dimensional data modeling.
- 7 years experience in writing SQL statements.
- Experience analyzing data to identify gaps and inconsistencies.
- Experience managing and communicating data warehouse plans to internal clients.
Preferred Qualifications:
- Masters or Ph.D degree in a STEM field
- Experience with one or more of the following: data processing automation data quality data warehousing data governance business intelligence data visualization data privacy
- Experience working with terabyte to petabyte scale data
- Experience influencing product decisions with data.
Benefits
- Work Location: Remote
- 5 days working
5+ years experience in the data warehouse space. 5+ years experience in custom ETL design, implementation and maintenance. 5+ years experience with object-oriented programming languages. 7+ years experience with schema design and dimensional data modeling. 7+ years experience in writing SQL statements. Experience analyzing data to identify gaps and inconsistencies. Experience managing and communicating data warehouse plans to internal clients. Preferred Qualifications: Master's or Ph.D degree in a STEM field Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy Experience working with terabyte to petabyte scale data Experience influencing product decisions with data.