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Business Intelligence Applications Development Senior Programmer Analyst
- New York, New York, United States
- New York, New York, United States
À propos
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.
Preferred Skills
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).
Education
Bachelor’s degree/University degree or equivalent experience
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review, please let us know. View Citi’s EEO Policy Statement and the Know Your Rights poster.
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Compétences linguistiques
- English
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