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Jobs or company...

Senior Data Engineer (Analytics Engineering)

$ 8,000 - $ 11,000 / month
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Secretlab is an international gaming chair brand seating over a million users worldwide, with our key markets in the United States, Europe and Singapore, where we are headquartered.

You will be a Data or Senior Data Engineer in our team, responsible for bringing Secretlab’s data infrastructure and analytics. The demand for clean serviceable stream/batch data has outstripped our ability to handle out-of-the-box solutions; the demand for information has grown rapidly here at Secretlab. We’re looking for Data Engineers who are excited about bringing a start-up data culture to a new level.

To be successful

  • Design Data Model & Architecture for the data warehouse & other data systems
  • Develop star schema and analytics and ML layers with Airflow, Data Built Tool, etc.
  • Develop Standard Template Packages for the rest of the team (e.g., logger templates and AWS, etc.)
  • Maintain a reliable data pipeline by following best practices (avoid accruing technical debt by unit testing, logging etc.).
  • Have MVPs and balance UI/UX/Function/Reliability - avoiding over or under-engineering pitfalls.
  • Build to Order pipelines need to be delivered against feature requests & user stories
  • Be comfortable with SaaS like Fivetran, DBT, S3, and Snowflake
  • Communicate clearly and concisely about all the aforementioned requirements as well as guide junior team members
  • PRs are bite-sized and easy to review with a 50% of PRs to clear within 1 review & 90% after 2 reviews

What your week will look like

  • AGILE Sprints with Business Intelligence Team to prune & prioritize backlog (Ops)
  • Develop data models (star-schema, event-based data marts, etc.)
  • Exploratory data analysis of the data based on business requirements
  • Running comprehensive testing to ensure data quality
  • Code reviews are part of the Data Team’s production process
  • Establish connectors to downstream BI / DWH tools
  • Handle data processing errors and failures as they surface
  • Contributing process improvements and tool selections in the weekly retro (start, stop, continue)

Requirements

Technical

  • SQL, Python Proficient
  • Familiarity with Git,
  • Building human-fault-tolerant pipelines, understanding how to scale up, addressing continuous integration, knowledge of database administration, maintaining data cleaning, and ensuring a deterministic pipeline

Personality

  • Real passion for data, new data technologies, and discovering new and interesting solutions to the company’s data needs
  • Upfront and Candid Personality – someone who is eager to contribute to the continuous improvement of both team and process; open to accepting and giving feedback (especially in retros)
  • Honest and Pragmatic – someone who access their capabilities honestly without embellishment

Bonuses

  • Prior experience with scaling up start-ups
  • Experience with DBT development is a strong plus
  • Apache-Spark
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