Data Platform Engineer - Tableau
Data Platform Engineer - Tableau
Posted on :
13-02-2025
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1 Vacancy
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Job Description
About the company: Company is a rapidly growing private equity backed SaaS product company and provides cloudbased solutions.
Job Description: We are seeking a Data Platform Engineer (Tableau Analytics) to design build and maintain a robust 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 Tableau Power BI and SQLbased data warehouses like Snowflake. You will be responsible for creating data pipelines modeling datasets and optimizing analytics workflows to empower business teams with actionable insights.
What You ll Be Doing:
Develop and maintain scalable data pipelines for ingestion transformation and storage using Snowflake and dbt.
Design optimize and maintain data models that support Tableau and Power BI analytics.
Create interactive dashboards and reports in Tableau and Power BI ensuring business stakeholders can make datadriven decisions.
Partner with stakeholders across the organization to define data requirements and implement solutions that drive business impact.
Improve data quality governance and lineage by implementing best practices in data orchestration testing and monitoring.
Optimize SQL queries and performance for analytical workloads across relational and NoSQL 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 to enhance platform scalability and efficiency.
Collaborate with analytics teams to create selfserve data products that improve accessibility to insights.
Skills & Experience 6-8 years of experience as a Data Engineer, Data Analyst, Data Scientist, or Analytics Engineer. Bachelor s degree in computer science, Physics, Math, Economics, or a related field. Expertise in SQL-based data warehouses like Snowflake or similar platforms. Strong experience in data modeling using dbt (data build tool). Hands-on experience with Tableau and Power BI, including building dashboards, reports, and analytics-ready datasets. Experience in data engineering workflows, including ETL/ELT, data ingestion, transformation, and publishing. Proficiency in writing and optimizing SQL queries across relational (Postgres, SQL Server) 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 problem-solving skills, and the ability to work in a fast-paced environment. Ability to translate business needs into scalable data solutions and collaborate with both technical and non-technical stakeholders. An ability to balance humility with rigorous standards for work quality
Job Description: We are seeking a Data Platform Engineer (Tableau Analytics) to design build and maintain a robust 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 Tableau Power BI and SQLbased data warehouses like Snowflake. You will be responsible for creating data pipelines modeling datasets and optimizing analytics workflows to empower business teams with actionable insights.
What You ll Be Doing:
Develop and maintain scalable data pipelines for ingestion transformation and storage using Snowflake and dbt.
Design optimize and maintain data models that support Tableau and Power BI analytics.
Create interactive dashboards and reports in Tableau and Power BI ensuring business stakeholders can make datadriven decisions.
Partner with stakeholders across the organization to define data requirements and implement solutions that drive business impact.
Improve data quality governance and lineage by implementing best practices in data orchestration testing and monitoring.
Optimize SQL queries and performance for analytical workloads across relational and NoSQL 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 to enhance platform scalability and efficiency.
Collaborate with analytics teams to create selfserve data products that improve accessibility to insights.
Requirements
Skills & Experience
68 years of experience as a Data Engineer Data Analyst Data Scientist or Analytics Engineer.
Bachelor s 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 dashboards reports and analyticsready datasets.
Experience in data engineering workflows including ETL/ELT data ingestion transformation and publishing.
Proficiency in writing and optimizing SQL queries across relational (Postgres SQL Server) 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 fastpaced environment.
Ability to translate business needs into scalable data solutions and collaborate with both technical 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
Skills & Experience 6-8 years of experience as a Data Engineer, Data Analyst, Data Scientist, or Analytics Engineer. Bachelor s degree in computer science, Physics, Math, Economics, or a related field. Expertise in SQL-based data warehouses like Snowflake or similar platforms. Strong experience in data modeling using dbt (data build tool). Hands-on experience with Tableau and Power BI, including building dashboards, reports, and analytics-ready datasets. Experience in data engineering workflows, including ETL/ELT, data ingestion, transformation, and publishing. Proficiency in writing and optimizing SQL queries across relational (Postgres, SQL Server) 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 problem-solving skills, and the ability to work in a fast-paced environment. Ability to translate business needs into scalable data solutions and collaborate with both technical and non-technical stakeholders. An ability to balance humility with rigorous standards for work quality
Employment Type
Full Time
Key Skills
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