As an Applications Development Senior Programmer Analyst at the intermediate level, your role involves participating in the establishment and implementation of new or revised application systems and programs. Your primary objective is to contribute to applications systems analysis and programming activities. **Key Responsibilities:**
Design, develop, and maintain scalable and efficient data pipelines and ETL processes to ingest, transform, and load data from various sources into data warehouses and data lakes. - Work closely with business stakeholders, data analysts, and other engineers to understand data requirements and translate them into technical specifications. - Develop, test, and deploy high-quality, interactive, and visually appealing Tableau dashboards and reports that meet business needs. - Optimize Tableau dashboards for performance, scalability, and usability, ensuring data accuracy and consistency. - Manage and administer Tableau Server, including user permissions, data source connections, and performance monitoring. - Implement data governance, security, and quality best practices across all data solutions. - Troubleshoot and resolve data-related issues, performance bottlenecks, and reporting discrepancies. - Provide technical guidance and mentorship to junior team members, fostering a collaborative and learning-oriented environment. - Stay up-to-date with emerging data engineering and visualization technologies and recommend their adoption where appropriate. **Qualifications:**
Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, Engineering, or a related quantitative field. - Minimum of 6-8 years of progressive professional experience in data engineering, business intelligence, or a related role. - Proven expertise in designing, developing, and optimizing data warehouses, data lakes, and ETL processes using tools such as Apache Spark, DataBricks, AWS Glue, Azure Data Factory, or similar. - Advanced proficiency in SQL and experience with relational and NoSQL databases (e.g., Snowflake, Redshift, PostgreSQL, MongoDB). - Expert-level experience with Tableau Desktop and Tableau Server, including dashboard design, data modeling, performance tuning, and administration. - Strong understanding of data visualization best practices and principles. - Experience with scripting languages like Python for data manipulation and automation. - Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. - Excellent analytical, problem-solving, and communication skills with the ability to explain complex technical concepts to non-technical stakeholders. - Ability to work independently and as part of a team in a fast-paced, agile environment. This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. As an Applications Development Senior Programmer Analyst at the intermediate level, your role involves participating in the establishment and implementation of new or revised application systems and programs. Your primary objective is to contribute to applications systems analysis and programming activities. **Key Responsibilities:**
Design, develop, and maintain scalable and efficient data pipelines and ETL processes to ingest, transform, and load data from various sources into data warehouses and data lakes. - Work closely with business stakeholders, data analysts, and other engineers to understand data requirements and translate them into technical specifications. - Develop, test, and deploy high-quality, interactive, and visually appealing Tableau dashboards and reports that meet business needs. - Optimize Tableau dashboards for performance, scalability, and usability, ensuring data accuracy and consistency. - Manage and administer Tableau Server, including user permissions, data source connections, and performance monitoring. - Implement data governance, security, and quality best practices across all data solutions. - Troubleshoot and resolve data-related issues, performance bottlenecks, and reporting discrepancies. - Provide technical guidance and mentorship to junior team members, fostering a collaborative and learning-oriented environment. - Stay up-to-date with emerging data engineering and visualization technologies and recommend their adoption where appropriate. **Qualifications:**
Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, Engineering, or a related quantitative field. - Minimum of 6-8 years of progressive professional experience in data engineering, business intelligence, or a related role. - Proven expertise in designing, developing, and optimizing data warehouses, data lakes, and ETL processes using tools such as Apache Spark, DataBricks, AWS Glue, Azure Data Factory, or similar. - Advanced proficiency in SQL and experience with relational and NoSQL databases (e.g., Snowflake, Redshift, PostgreSQL, MongoDB). - Exper