Senior Data Engineer

About the job :

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.

Youll 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 servicese.g. IAM, Glue, Lambdafor 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.

Qualifications & Skills :

- Bachelor's degree in Computer Science, Engineering, or a related technical field.

to 6 years of experience with BI tools, including significant hands-on work in Looker and LookML.

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.