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