Key Responsibilities:

Design and develop data warehouse solutions to support business intelligence and reporting needs.
Collaborate with cross-functional teams to identify and understand data requirements.
Develop ETL processes to extract, transform and load data from various sources into the data warehouse.
Ensure data accuracy and integrity by performing data validation and quality checks.
Optimize data warehouse performance by analyzing and tuning SQL queries.
Develop and maintain data warehouse documentation, including data dictionaries, data flow diagrams, and data models.
Troubleshoot and resolve production issues related to the data warehouse.
Continuously monitor and improve data warehouse processes to ensure scalability and efficiency.
Stay updated with the latest data warehouse technologies and trends to identify opportunities for improvement.

Qualifications:

Bachelor's degree in Computer Science, Information Systems, or a related field.
Minimum of 3 years of experience as a Data Warehouse Engineer.
Strong proficiency in SQL and experience with relational databases.
Hands-on experience with ETL tools, such as Informatica, Talend, or SSIS.
Familiarity with data warehousing concepts, including star schemas, data marts, and dimensional modeling.
Experience with cloud data warehouse platforms, such as Amazon Redshift, Snowflake, or Google BigQuery.
Knowledge of data visualization tools, such as Tableau, Power BI, or QlikView.
Excellent problem-solving and critical thinking skills.
Ability to work in a fast-paced and dynamic environment.
Strong communication and collaboration skills.

Join our team and be a part of our mission to transform data into actionable insights. Apply now and take the next step in your career as a Data Warehouse Engineer.

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