Senior Data Engineer – Looker
6 days ago
We are seeking a highly skilled Senior Data Engineer with extensive hands-on experience in both Looker (LookML/dashboard development) and Amazon QuickSight. This role will help shape our analytic infrastructure, assist in dashboard migration, and deliver high-performance BI solutions in collaboration with cross-functional teams. You'll work with the latest technologies and with disruptive customers looking to bring innovative ideas to the market.
Roles & Responsibilities :
- Develop, maintain, and enhance Looker dashboards and LookML models (including explores, derived tables, dimensions/measures, PDTs)
- Design and implement Amazon QuickSight dashboards: build SPICE datasets, visualizations, filters/parameters, and fully featured dashboards
- Lead migration projects moving dashboards from tools like Looker to QuickSight, replicating metrics, filters, and layouts while optimizing performance
- Use SQL extensively for querying, ETL validation, data transformations, and ensuring data model integrity.
- Collaborate with Data Engineering and business stakeholders to design semantic layers and data models to support BI tools.
- Evaluate and adjust ETL logic/data pipelines to align with BI needs and ensure data accuracy.
- Perform data validation and QA on datasets, reports, and dashboards to ensure consistency and correctness.
- Apply dashboard performance optimization practices in QuickSight (e.g. SPICE tuning, incremental refreshes)
- Manage QuickSight data source integrations (Redshift, Athena, RDS, S3) and build relationships to secure data delivery.
- Utilize related AWS services—e.g. IAM, Glue, Lambda—for governance, data preparation, and process automation.
- Produce comprehensive documentation for data transformations, dashboard specifications, and delivery guidelines.
- Work collaboratively in cross-functional teams, supporting analysts, engineers, and business stakeholders.
Requirements
Qualifications & Skills:
- Bachelor's degree in Computer Science, Engineering, or a related technical field.
- 4 to 6 years of experience with BI tools, including significant hands-on work in Looker and LookML.
- 3+ years building and optimising Amazon QuickSight dashboards, managing SPICE datasets, and performance tuning
- Strong SQL proficiency (complex queries, joins, data modelling, validation).
- Experience with data modelling and semantic layer design to improve analytics usability.
- Proven track record in BI migration projects, particularly moving dashboards from Looker (or similar) to QuickSight.
- Familiarity with AWS ecosystem: Redshift, Athena, RDS, S3, Glue, Lambda, IAM.
- Experience with QA processes, data validation, and analytical consistency checks.
- Ability to assess performance bottlenecks and optimize dashboards for user experience.
- Excellent documentation skills, including transformation logic, dashboard specs, and stakeholder guides.
- Strong communication skills—capable of working with stakeholders and cross-functional teams.
- Prior experience migrating Looker reports to QuickSight or comparable BI tools
- AWS certifications (e.g., AWS Certified Data Analytics, AWS Certified Solutions Architect).
- Familiarity with version control workflows or CI/CD for BI assets (e.g, API-based deployments).
- Experience embedding QuickSight dashboards or implementing advanced access controls.
- Background in using tools like Data-bricks, Athena SQL, or Python ETLs.
Signs You May Be a Great Fit
- Impact: Play a pivotal role in shaping a rapidly growing venture studio with Cloud-driven digital transformation.
- Culture: Thrive in a collaborative, innovative environment that values creativity, ownership, and agility.
- Growth: Access professional development opportunities and mentorship from experienced peers.
- Benefits: Competitive salary, wellness packages, and flexible work arrangements that support your lifestyle and goals.
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