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Senior Looker Developer Jobs in Minnesota (NOW HIRING)

Accenture

Google Data Specialist

Minneapolis, MN · On-site

$70K - $196K/yr

Collaborate closely with senior data engineers, ML engineers, and architects. * Contribute to ... Looker. * Exposure to AI/ML development or experimentation with Vertex AI, Gemini models ...

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Senior Looker Developer information

What are the key skills and qualifications needed to thrive as a Senior Looker Developer, and why are they important?

To thrive as a Senior Looker Developer, you need advanced experience in data modeling, SQL, and business intelligence concepts, typically supported by a bachelor’s degree in computer science or a related field. Expertise with Looker’s LookML language, dashboard development, and integration with SQL databases is essential, as are certifications in Looker or other BI tools. Strong analytical thinking, problem-solving, and clear communication skills help you understand business requirements and deliver actionable insights. These skills ensure you can build scalable, efficient data solutions that drive informed decision-making across the organization.

What is a Senior Looker Developer?

A Senior Looker Developer is a data professional responsible for designing, building, and optimizing business intelligence solutions using Looker, a data analytics and visualization platform. They create data models, develop dashboards, and ensure that data is accessible and accurate for business users. Senior Looker Developers often collaborate with data engineers, analysts, and business stakeholders to translate business requirements into actionable insights. Their expertise includes LookML (Looker's modeling language), SQL, and best practices for data visualization and reporting. They also mentor junior developers and help drive the adoption of data-driven decision-making within organizations.

What is the difference between Senior Looker Developer vs Data Analyst?

AspectSenior Looker DeveloperData Analyst
Required CredentialsExperience with Looker, SQL, data modelingStatistical or data analysis degrees, Excel, SQL
Work EnvironmentData teams, BI departments, technical rolesBusiness units, reporting teams, cross-functional
Employer & Industry UsageTech, finance, retail, healthcareMarketing, finance, operations, consulting
Common Search & ComparisonFocus on BI tools, data modeling, dashboardsFocus on data interpretation, reporting, insights

The main difference is that a Senior Looker Developer specializes in building and maintaining Looker dashboards and data models using Looker and SQL, while a Data Analyst focuses on interpreting data, generating reports, and providing insights across various tools. Both roles require strong SQL skills, but the Senior Looker Developer is more technical and platform-specific, whereas the Data Analyst emphasizes data interpretation and business understanding.

What are some common challenges faced by Senior Looker Developers when working on large-scale BI projects?

Senior Looker Developers often encounter challenges such as optimizing complex data models for performance, managing version control in Looker projects, and ensuring data consistency across multiple sources. Collaborating with data engineers, analysts, and business stakeholders to translate business requirements into effective LookML code can also be demanding. Staying current with Looker updates and best practices is essential to deliver scalable, maintainable solutions that meet evolving organizational needs.
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Senior Looker Developer jobs near you

Google Cloud Platform Data Engineer

Smart Info Solutions llc

Minneapolis, MN • On-site

$119K - $143K/yr

Other

Posted 2 days ago

New

Job description

Job Title: Senior Google Cloud Platform Data Engineer
Location: Minneapolis, MN - 100% Onsite  
Experience: 12+ Years  

Work Model:Onsite  

About the Role
We are looking for a Senior Google Cloud Platform Data Engineer with 12+ years of experience to lead the design, development, and optimization of large-scale data platforms on Google Cloud. The ideal candidate will architect data solutions, mentor junior engineers, and drive best practices for scalability, performance, and governance.

Key Responsibilities
- *Data Architecture*: Design and implement scalable, secure, and cost-optimized data pipelines and data warehouses on Google Cloud Platform
- *Pipeline Development*: Build and maintain ETL/ELT pipelines using Dataflow, Apache Beam, Cloud Composer, and Pub/Sub
- *Data Modeling*: Create and optimize data models for BigQuery, Cloud SQL, Cloud Spanner, and Bigtable
- *Cloud Services*: Hands-on with Google Cloud Platform services - BigQuery, Dataflow, Dataproc, Cloud Storage, Cloud Functions, Vertex AI, Looker
- *Automation & DevOps*: Implement CI/CD for data pipelines using Terraform, Cloud Build, and Git. Infrastructure as Code
- *Performance & Optimization*: Tune data pipelines and queries for cost, performance, and reliability
- *Governance & Security*: Ensure data quality, lineage, encryption, IAM, and compliance with enterprise standards
- *Leadership*: Collaborate with Solution Architects, Product, and Business teams. Mentor 2-3 data engineers
- *Stakeholder Management*: Translate business requirements into technical solutions and present to leadership

 *Required Skills & Qualifications*
- *12+ years* of overall IT experience with *8+ years in Data Engineering*
- *5+ years* of hands-on experience with *Google Cloud Platform*
- Expert in *BigQuery, Dataflow/Apache Beam, Cloud Composer, Pub/Sub, Cloud Storage*
- Strong programming in *Python, SQL, and Shell Scripting*
- Experience with *Spark, Dataproc, Hadoop ecosystem*
- Hands-on with *Terraform, Cloud Build, Docker, Kubernetes*
- Deep understanding of *Data Warehousing concepts, Star/Snowflake Schema, CDC*
- Experience with *data governance tools, monitoring, and logging* on Google Cloud Platform
- *Google Cloud Platform Professional Data Engineer Certification* preferred
- Excellent communication and client-facing skills
- Bachelor’s/Master’s degree in Computer Science, Engineering, or related field

 *Good to Have*
- Experience with *Looker, dbt, Airflow*
- Knowledge of *GenAI/Vertex AI* for data applications
- Prior experience in *Healthcare, Finance, or Retail* domains
- Experience with multi-region, multi-project Google Cloud Platform setups

Apply