Data Platform Engineer - Tableau

About the company:

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 data-driven 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 self-serve data products that improve accessibility to insights.
  

Requirements

Skills & Experience

• Notice period must be 1 month or less than this.
• 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
  

Benefits

• Medical & Life insurance
• Motivating compensation
• Paid Holidays
• Great working environment
• Rapid career development opportunities