Senior Analytics Engineer designing scalable data models and optimizing data pipelines at Klar. Collaborating with cross - functional teams to ensure data quality and mentorship of business analysts.
About the role
- Analytics Engineer in FinTech Data Science team ensuring data accuracy and usability. Transforming raw data into reliable models for business monitoring and insights.
Responsibilities
- Build out the canonical data schema for FinTech and related organizations by designing and maintaining well-structured, modular, and user-friendly data tables.
- Design, develop, deploy, and operate high-quality production ELT pipelines and data architectures, integrating data from various sources and formats.
- Architect and maintain the presentation layer in BI tools (e.g., Looker/Superset) to ensure dashboards are performant and provide a seamless self-serve experience.
- Act as a strategic partner to stakeholders by translating vague business questions into concrete technical solutions that drive business value.
- Ensure data is accurate, complete, and timely by implementing robust testing, monitoring, and validation protocols for your code and data.
- Establish and share best practices in performance, code quality, data governance, and discoverability while participating in mentoring initiatives.
Requirements
- 5+ years of experience in Analytics Engineering, Data Engineering, or related roles working with big data at scale.
- Expert-level SQL and proficiency in a high-level scripting language (e.g., Python, R, or Scala) for data automation and manipulation.
- Experience with workflow management tools (e.g., Airflow) to schedule and monitor complex data pipelines.
- Strong experience with dbt or similar frameworks for transforming data in the warehouse.
- Deep experience with BI tools (e.g., Looker, Superset, or Grafana) and a strong understanding of how to structure data for downstream consumption.
- Solid foundation in software best practices, including version control (Git), CI/CD, and data testing/quality frameworks.
- Ability to operate comfortably in a fast-paced environment and take ownership of projects with minimal oversight.
- Excellent communication skills with the ability to bridge the gap between technical engineering terms and business requirements.
- A learning mindset and exceptional curiosity—eagerly diving into new domains and bringing informed ideas to the table.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development opportunities
Job title
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Experience level
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Not specified
Degree requirement
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