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Related keywords
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- Business Intelligence
- Business Intelligence Engineer II
- Industry Business Intelligence Data Analyst
- Business Intelligence Data Analyst
- Business Intelligence Data Engineer
- Data Intelligence
- Data Science And Business Intelligence Engineer
- Data And Business Intelligence Analyst
- Quality Business Intelligence Engineer
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Data Engineer - Business Intelligence
Company | San Diego County Regional Airport Authority |
Address | San Diego, CA, United States |
Employment type | FULL_TIME |
Salary | |
Category | Technology, Information and Internet |
Expires | 2023-07-27 |
Posted at | 10 months ago |
San Diego International is built upon the vision that every team member has a stake in bringing our “Good Feelings, Nonstop” brand to life for every passenger and fellow employee. Here at the Airport Authority, we love San Diego as much as we love flying, and we see our airport as an extension of the always friendly and sunny city we call home. If you’re looking for a team that values each other, does great work, and most importantly, has a lot of fun along the way, we invite you to apply today.
- Strong programming skills in Python, C#, or other programming languages commonly used in data engineering.
- Develop and maintain databases, data warehouses, data lakes, documentation for all data pipelines, systems, and processes, ETL processes for integrating data from various sources.
- Design, build and maintain data pipelines and systems that collect, process, store, and analyze data from various sources.
- Collaborate with cross-functional teams to understand their data needs and develop scalable solutions that meet those needs. Optimize data storage and processing for performance and scalability.
- Ensure data quality, security, and privacy by implementing appropriate data governance, audit, and security measures.
- Basic understanding of advanced analytics techniques and machine learning algorithms, enabling them to prepare and process data for these applications
- Remain current on emerging trends and technologies in data engineering, cloud computing, and database management. Familiarity with cloud computing platforms, such as AWS, Azure, or Google Cloud Platforms.
- Problem Solving/Agility: Analyzes situation or factors, collaboratively generates alternatives or solutions, and readily adapts behavior or new work methods to evolving and unexpected situations.
- Process Knowledge: Proficiently analyzes and estimates projects, documents, monitors processes and develops framework for implementation and improvement.
- Communication/Collaboration: Proficiently and tactfully exchange and interpret information verbally and in writing; works effectively on cross-functional teams to accomplish organizational goals.
- Critical Thinking: Critically reviews and translates business requirements, data and information to specify solutions or alternative practice in support of business objectives and strategies.
- Leveraging Technology: Effective use of electronic information and associated systems such as Tableau, Power BI. AWS, Azure, SQL, and/or NoSQL. Expertise in database management systems, such as SQL databases (e.g., Oracle, T-SQL, MySQL, PostgreSQL, MongoDB). Skilled in data integration and ETL (Extract, Transform, Load) or ELT (Extract, Load, Transform) processes. Knowledge of data warehousing concepts and technologies (e.g., star schema, snowflake schema, or columnar storage) to design and maintain efficient data storage solutions. Proficient in data quality management and cleansing techniques, ensuring that data is accurate, consistent, and reliable for analysis.
- Graduation from a four-year college or university with a major in computer science, information systems, or closely related field.
- Three years of experience in data engineering or a related field.
- One year or more experience with cloud computing platforms.
- Five years or more experience with database management systems such as SQL, or Hadoop.
- Two years or more experience with ETL tools and processes.
- Experience in the aviation industry or with airport operations is preferred.
- Graduate degree in Computer Science, Information Systems, Big Data Analytics or related field.
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