Data Engineer, Value Insights & Analytics

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Slack is looking for data engineers to join our Value Insights and Analytics team, which helps our customers quantify the impact of Slack on their company's performance.

As a VIA Data Engineer, you will have a unique opportunity to build value metrics from scratch. You will design, implement and scale data pipelines that transform our relational data into graphs that enable cutting edge insights for our Sales & Success team as well as our customers. You have strong technical skills, you are comfortable contributing to a nascent data ecosystem and thrive in a less structured environment, and you can build a strong data foundation for the company. You are a self-starter, creative and passionate about having a huge impact at Slack.

We are a small team making a large impact. We rapidly iterate and work closely with sales and success teams, business domain experts, analytics and engineering teams as well as directly with customers to design and implement our data models.

What you will be doing

• 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

What you should have

• You have 4+ years of experience working in data architecture, data modeling, master data management, metadata management
• You have recent accomplishments working with relational as well as NoSQL data stores, methods and approaches (logging, columnar, star and snowflake, dimensional modeling)
• You have a proven track record in scaling and optimizing schemas, performance tuning SQL and ETL pipelines in OLAP and Data Warehouse environments
• You have demonstrated skills with either Python or Java programming language
• You are familiar with data governance frameworks, SDLC, and Agile methodology
• You have excellent written and verbal communication and interpersonal skills, and ability to effectively collaborate with technical and business partners
• You have hands-on experience with Big Data technologies (e.g Hadoop, Hive, Spark)
• You are familiar with graph databases, which is a huge plus
• You have a Bachelor's degree in Computer Science, Engineering or a related field, or equivalent training, fellowship, or work experience