Description

Key Responsibilities:

  • Design and build robust, scalable ETL/ELT data pipelines to support analytics and reporting needs.
  • Prepare, clean, and transform data from multiple sources into consumable datasets for Tableau dashboards.
  • Develop and optimize data models (Star/Snowflake schema) that enable efficient self-service analytics.
  • Design, develop, and maintain interactive Tableau dashboards and reports for various business stakeholders.
  • Collaborate with business analysts, data scientists, and BI teams to understand requirements and translate them into technical solutions.
  • Ensure data accuracy, completeness, and consistency through data validation and quality checks.
  • Optimize Tableau workbooks and SQL queries for performance.
  • Manage Tableau Server/Cloud environments, including user access, data source management, and performance tuning.
  • Stay current with Tableau product updates and modern data engineering tools and practices.

 

Required Skills:

  • 4+ years of experience in data engineering, business intelligence, or related fields.
  • Expert-level proficiency with Tableau Desktop and Tableau Server/Tableau Cloud.
  • Strong SQL skills (preferably with Snowflake, Redshift, BigQuery, or SQL Server).
  • Experience with data transformation tools (e.g., dbt, Informatica, Alteryx, or SSIS).
  • Proficient in data modeling, query optimization, and performance tuning.
  • Solid understanding of data warehouse concepts and cloud platforms (AWS, Azure, or GCP).
  • Ability to write efficient, well-documented, and reusable code for data ingestion and transformation.
  • Familiarity with Python or R for data manipulation and automation is a plus.
  • Experience with version control tools like Git.


 

Key Skills
Education

Any Graduate

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