Key Responsibilities:

Design and develop data structures, data models, and data pipelines to support data analytics and reporting needs.
Collaborate with data analysts to understand data requirements and build scalable solutions to meet those needs.
Work closely with data scientists to ensure the accuracy and integrity of data used for machine learning and predictive analytics.
Troubleshoot and resolve data-related issues, including data quality, data integration, and performance issues.
Develop ETL processes to extract, transform, and load data from various sources into our data warehouse.
Monitor and optimize database and query performance to ensure efficient data retrieval.
Implement and maintain data security protocols to protect sensitive data.
Stay updated on industry trends and best practices in data management and integration.

Qualifications:

Bachelor's degree in Computer Science, Information Technology, or a related field.
Minimum of 3 years of experience in data development, database design, and ETL processes.
Strong knowledge of SQL and experience working with relational databases such as MySQL, SQL Server, or Oracle.
Proficient in at least one programming language such as Python, Java, or C#.
Experience with data integration tools such as Informatica, Talend, or SSIS.
Familiarity with data visualization tools like Tableau, Power BI, or QlikView.
Excellent problem-solving and analytical skills with a strong attention to detail.
Ability to work independently and in a team environment, managing multiple priorities and deadlines.
Strong communication skills to effectively collaborate with cross-functional teams.

Join our team and be a part of our mission to turn data into actionable insights.

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