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Title

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Data Warehouse Developer

Description

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We are looking for a highly skilled Data Warehouse Developer to join our dynamic team. The ideal candidate will have extensive experience in designing, developing, and maintaining data warehouse systems that support business intelligence (BI) and analytics solutions. You will be responsible for ensuring the integrity, performance, and security of our data warehouse, as well as for developing ETL (Extract, Transform, Load) processes to integrate data from various sources. Your role will involve collaborating with business analysts, data scientists, and other stakeholders to understand data requirements and translate them into technical specifications. You will also be responsible for optimizing data storage and retrieval processes to ensure efficient data access and reporting. The successful candidate will have a strong background in database management, data modeling, and SQL, as well as experience with data warehousing tools and technologies. You should be detail-oriented, with excellent problem-solving skills and the ability to work independently or as part of a team. If you are passionate about data and have a proven track record of delivering high-quality data solutions, we would love to hear from you.

Responsibilities

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  • Design, develop, and maintain data warehouse systems.
  • Develop ETL processes to integrate data from various sources.
  • Ensure the integrity, performance, and security of the data warehouse.
  • Collaborate with business analysts, data scientists, and other stakeholders to understand data requirements.
  • Translate business requirements into technical specifications.
  • Optimize data storage and retrieval processes for efficient data access and reporting.
  • Develop and maintain data models and database schemas.
  • Monitor and troubleshoot data warehouse performance issues.
  • Implement data quality and data governance best practices.
  • Create and maintain documentation for data warehouse processes and systems.
  • Perform data profiling and data cleansing activities.
  • Develop and maintain data integration workflows and scripts.
  • Ensure compliance with data privacy and security regulations.
  • Provide support and training to end-users on data warehouse tools and technologies.
  • Stay up-to-date with the latest data warehousing trends and technologies.

Requirements

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  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Proven experience as a Data Warehouse Developer or similar role.
  • Strong knowledge of database management systems (DBMS) and SQL.
  • Experience with data warehousing tools and technologies (e.g., Oracle, SQL Server, Teradata).
  • Proficiency in ETL tools (e.g., Informatica, Talend, SSIS).
  • Experience with data modeling and database schema design.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration skills.
  • Detail-oriented with a focus on data accuracy and quality.
  • Ability to work independently and as part of a team.
  • Experience with BI and analytics tools (e.g., Tableau, Power BI) is a plus.
  • Knowledge of data governance and data quality best practices.
  • Familiarity with data privacy and security regulations.
  • Experience with cloud-based data warehousing solutions (e.g., AWS Redshift, Google BigQuery) is a plus.
  • Strong organizational and time management skills.
  • Ability to manage multiple projects and priorities simultaneously.
  • Experience with scripting languages (e.g., Python, R) is a plus.
  • Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus.
  • Certification in data warehousing or related fields is a plus.

Potential interview questions

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  • Can you describe your experience with data warehousing tools and technologies?
  • How do you ensure data integrity and security in a data warehouse?
  • Can you provide an example of a complex ETL process you have developed?
  • How do you approach data modeling and database schema design?
  • What strategies do you use to optimize data storage and retrieval processes?
  • How do you handle data quality and data governance in your projects?
  • Can you describe a challenging data warehouse performance issue you have resolved?
  • How do you stay up-to-date with the latest data warehousing trends and technologies?
  • What experience do you have with cloud-based data warehousing solutions?
  • How do you collaborate with business analysts and data scientists to understand data requirements?