
Data Engineer, Value Insights & Analytics
You will translate business requirements into data models that are easy to understand and used by different disciplines across the company. You will design, implement and build pipelines that deliver data with measurable quality under the SLA. You will partner with business domain experts, product owners, and engineering teams to build data sets that are trusted, well understood, aligned with business strategy and enable flexibility. You will be a champion of the overall strategy for data across multiple teams and different use cases You will increase access to actionable Slack Value metrics through process and technical foundations. You will identify, document and promote data engineering best practices on the team.
4+ years of experience working in data architecture, data modeling, master data management, metadata management
Familiar with data governance frameworks, SDLC, and Agile methodology
Familiar with graph databases, which is a huge plus
Java
Hadoop
Hive
Spark
ETL pipelines
Python Scripting
Snowflake
Time Management Skills
Dimensional modeling
performance tuning SQL
Prioritizing skills
Organizational skills
Communication Skills
Adaptability
Problem-solving and resourcefulness
Attention to detail and accuracy
Multi tasker
According to JobzMall, the average salary range for a Data Engineer, Value Insights & Analytics in 500 Howard St, San Francisco, CA 94105, USA is from $90,000 to $140,000 per year. This salary range is based on the experience, skills, and qualifications of the job seeker.
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Empathy. Courtesy. Playfulness. Craftsmanship. Solidarity — these are some of the values we live by, as a company. We work by them, too: we’re building a platform and products we believe in — knowing there is real value to be gained from helping people, wherever they are, simplify whatever it is that they do and bring more of themselves to their work.

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