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The Applications Development Senior Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.
Job Responsibility:
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
Requirements:
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
Nice to have:
Experience with other BI tools (e.g., Power BI, Qlik Sense) is a plus
Knowledge of version control systems (e.g., Git)
Experience with big data technologies (e.g., Hadoop, Kafka)
Understanding of data governance frameworks and compliance requirements (e.g., GDPR, CCPA)