Tasks

• Design and optimize SQL databases to ensure they meet the company's data storage and retrieval needs efficiently.
• Collaborate with software development teams to integrate SQL databases into new or existing applications seamlessly.
• Develop and maintain ETL processes to extract, transform, and load data from various sources into SQL databases.
• Monitor database performance and troubleshoot any issues related to SQL queries or data integrity.
• Create and maintain comprehensive documentation for database structures, processes, and best practices.

Requirements

Proficiency in SQL with the ability to write efficient, optimized queries for complex datasets.

Strong analytical skills with experience working with large-scale data environments (e.g., data warehouses, relational databases).

Programming experience in Python, R, or another data-focused language.

Familiarity with ETL tools and frameworks (e.g., Airflow, dbt, Apache NiFi).

Experience with BI platforms such as Tableau, Power BI, Looker, or similar.

Solid understanding of data modeling, data warehousing concepts, and database design.

Experience working with cloud-based data platforms (e.g., AWS Redshift, Google BigQuery, Snowflake).

Strong problem-solving abilities and attention to detail.

Excellent communication skills with the ability to translate technical findings into business insights.

Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or a related field (or equivalent work experience).

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