Responsibilities

• Collect, clean, and process data from various SQL data sources, ensuring accuracy, completeness, and consistency.
• Perform data validation and quality checks to identify and resolve anomalies, errors, and inconsistencies in data sets.
• Develop and maintain data management systems, including data dictionaries, metadata repositories, and data documentation.
• Plan, deploy, and maintain data pipelines and ETL (Extract, Transform, Load) processes (Python/NodeJS) on Linux-based servers to move and transform data from various source databases (MySQL/PostgreSQL) into the target systems.
• Design and develop data architectures, databases, and data processing systems to support the collection, storage, and retrieval of structured and unstructured data.
• Conduct data profiling, analysis, and validation to identify data anomalies, patterns, and trends, providing insights for business decision-making.
• Collaborate with stakeholders to understand data requirements and translate them into technical specifications, data models, and visualization dashboards.

Specifications

• BS or MS degree in Computer Science or a related technical field.
• At least 2 years of experience and proficiency in data manipulation and analysis using tools such as SQL, Excel, or scripting languages. Python or NodeJS experience is a plus.
• Familiarity with data visualization tools such as Superset, Tableau, or Power BI to create reports and dashboards.
• Knowledge of database concepts, data modeling, and relational database management systems (e.g., MySQL, PostgreSQL, SQL Server).
• Excellent problem-solving and troubleshooting skills.
• Process-oriented with great documentation skills.
• Excellent oral and written communication skills with a keen sense of customer service.