Tableau Consultant- Internal

Tableau Developer

We are seeking a highly skilled and detail-oriented Tableau Developer with strong expertise in Tableau, PySpark, AWS, Python, and data engineering to join our growing analytics team. The ideal candidate will have a proven track record of designing, developing, and maintaining enterprise-level business intelligence solutions while working with large-scale datasets in cloud-based environments.

This role requires a combination of business intelligence, data engineering, and software development skills. You will be responsible for building interactive dashboards, developing scalable data pipelines, optimizing data models, and collaborating with cross-functional teams to deliver data-driven insights that support strategic business decisions. The ideal candidate is passionate about transforming complex datasets into meaningful visualizations and has hands-on experience with modern cloud technologies, scripting, automation, and coding best practices.

Key Responsibilities:

• Design, develop, and maintain interactive Tableau dashboards, reports, scorecards, and visual analytics solutions that provide actionable business insights.
• Gather reporting requirements from business stakeholders and translate them into scalable, user-friendly Tableau solutions.
• Develop optimized Tableau data models using extracts, live connections, and custom SQL to maximize dashboard performance.
• Build and maintain scalable ETL/ELT pipelines using PySpark and Python to process large volumes of structured and unstructured data.
• Develop data transformation frameworks that improve data quality, consistency, and reliability across enterprise reporting platforms.
• Utilize AWS cloud services to build secure, scalable, and high-performance analytics solutions.
• Work extensively with services such as Amazon S3, AWS Glue, Amazon EMR, AWS Lambda, Amazon Redshift, Amazon Athena, IAM, and Cloud Watch.
• Develop Python scripts for automation, data extraction, validation, cleansing, and workflow optimization.
• Write clean, efficient, reusable, and production-ready Python code following software engineering best practices.
• Optimize Spark jobs to improve execution time, resource utilization, and overall system performance.
• Develop reusable scripts and automation processes that reduce manual effort and improve operational efficiency.
• Create complex SQL queries, stored procedures, views, and performance tuning strategies for large relational databases.
• Design and implement dimensional data models, star schemas, snowflake schemas, and semantic layers to support enterprise reporting.
• Perform root cause analysis and troubleshoot data quality issues across multiple systems.
• Collaborate with Data Engineers, Data Scientists, Business Analysts, Cloud Engineers, and Product Owners to deliver high-quality analytics solutions.
• Participate in Agile ceremonies including sprint planning, daily stand-ups, backlog grooming, sprint reviews, and retrospectives.
• Maintain comprehensive technical documentation including solution designs, data dictionaries, ETL workflows, and dashboard specifications.
• Ensure compliance with enterprise security policies, governance standards, and data privacy regulations.
• Perform code reviews and contribute to the continuous improvement of coding standards and development practices.
• Monitor dashboard performance and proactively identify opportunities for optimization and enhancement.
• Support production deployments, troubleshoot issues, and provide timely resolutions in production environments.

Required Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related technical discipline.
• 5+ years of professional experience in Tableau development and business intelligence solutions.
• Strong experience developing enterprise dashboards using Tableau Desktop and Tableau Server or Tableau Cloud.
• Hands-on experience with PySpark for distributed data processing and large-scale data transformation.
• Strong programming skills in Python, including object-oriented programming, scripting, automation, and API integration.
• Extensive experience working with AWS Cloud services including:
  Amazon S3, AWS Glue, Amazon EMR, AWS Lambda, Amazon Redshift, Amazon Athena, IAM and Cloud Watch.
• Strong knowledge of SQL with experience writing complex joins, window functions, CTEs, stored procedures, and query optimization.
• Experience building scalable ETL/ELT pipelines.
• Strong understanding of data warehousing concepts and dimensional modeling.
• Experience working with large datasets and distributed computing environments.
• Knowledge of data governance, data quality, and metadata management.
• Experience using Git or other version control systems.
• Excellent analytical, troubleshooting, and problem-solving skills.
• Strong communication skills with the ability to interact effectively with technical and non-technical stakeholders.