Data Platform Engineer - Tableau
Data Platform Engineer - Tableau
Posted on :
07-04-2025
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1 Vacancy
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Job Description
About the company: Company is a rapidly growing private equity backed SaaSproduct company and provides cloudbased solutions.
Job Description:We are seeking a Data Platform Engineer (Tableau Analytics) to design build and maintain arobust data platform that enables scalable analytics solutions. This role requires deep expertise in data engineering analytics modeling and dash boarding with a strong focus on TableauPower BI and SQLbased data warehouses like Snowflake. You will be responsible for creatingdata pipelines modeling datasets and optimizing analytics workflows to empower businessteams with actionable insights.
What Youll Be Doing:
Develop and maintain scalable data pipelines for ingestion transformation and storageusing Snowflake and dbt.
Design optimize and maintain data models that support Tableau and Power BIanalytics.
Create interactive dashboards and reports in Tableau and Power BI ensuring businessstakeholders can make datadriven decisions.
Partner with stakeholders across the organization to define data requirements andimplement solutions that drive business impact.
Improve data quality governance and lineage by implementing best practices in dataorchestration testing and monitoring.
Optimize SQL queries and performance for analytical workloads across relational andNoSQL databases such as MongoDB Postgres SQL Server and Cosmos DB.
Ensure best practices in version control CI/CD and automation for data workflows.
Continuously evaluate and integrate new data engineering tools and technologies toenhance platform scalability and efficiency.
Collaborate with analytics teams to create selfserve data products that improveaccessibility to insights.
Job Description:We are seeking a Data Platform Engineer (Tableau Analytics) to design build and maintain arobust data platform that enables scalable analytics solutions. This role requires deep expertise in data engineering analytics modeling and dash boarding with a strong focus on TableauPower BI and SQLbased data warehouses like Snowflake. You will be responsible for creatingdata pipelines modeling datasets and optimizing analytics workflows to empower businessteams with actionable insights.
What Youll Be Doing:
Develop and maintain scalable data pipelines for ingestion transformation and storageusing Snowflake and dbt.
Design optimize and maintain data models that support Tableau and Power BIanalytics.
Create interactive dashboards and reports in Tableau and Power BI ensuring businessstakeholders can make datadriven decisions.
Partner with stakeholders across the organization to define data requirements andimplement solutions that drive business impact.
Improve data quality governance and lineage by implementing best practices in dataorchestration testing and monitoring.
Optimize SQL queries and performance for analytical workloads across relational andNoSQL databases such as MongoDB Postgres SQL Server and Cosmos DB.
Ensure best practices in version control CI/CD and automation for data workflows.
Continuously evaluate and integrate new data engineering tools and technologies toenhance platform scalability and efficiency.
Collaborate with analytics teams to create selfserve data products that improveaccessibility to insights.
Requirements
Skills & Experience
68 years of experience as a Data Engineer Data Analyst Data Scientist or AnalyticsEngineer.
Bachelors degree in Computer Science Physics Math Economics or a related field.
Expertise in SQLbased data warehouses like Snowflake or similar platforms.
Strong experience in data modeling using dbt (data build tool).
Handson experience with Tableau and Power BI including building dashboardsreports and analyticsready datasets.
Experience in data engineering workflows including ETL/ELT data ingestiontransformation and publishing.
Proficiency in writing and optimizing SQL queries across relational (Postgres SQLServer) and NoSQL (MongoDB Cosmos DB) databases.
Familiarity with data governance lineage orchestration and quality monitoring.
Experience with version control (Git) CI/CD workflows and automated testing.
A growth mindset strong problemsolving skills and the ability to work in a fastpacedenvironment.
Ability to translate business needs into scalable data solutions and collaborate with bothtechnical and nontechnical stakeholders.
An ability to balance humility with rigorous standards for work quality
Benefits
Medical & Life insurance
Motivating compensation
Paid Holidays
Great working environment
Rapid career development opportunities
Employment Type
Full-Time
Key Skills
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