Senior Data Engineer - Looker & Amazon QuickSight

BOT ConsultingJaipur

23 days ago

Job description

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.

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.

(ref : hirist.tech)

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Senior Data Engineer • Jaipur