. This role offers an excellent opportunity to build a career in data engineering and development, working with databases, data pipelines, and integration tools to support business intelligence and analytics initiatives.
Key Responsibilities:
Assist in designing, developing, and maintaining databases and data pipelines.
Support data integration, extraction, transformation, and loading (ETL) processes.
Work with structured and unstructured data to ensure data quality and consistency.
Collaborate with data engineers and analysts to optimize database performance.
Participate in data modeling, schema design, and documentation activities.
Contribute to troubleshooting, debugging, and resolving database-related issues.
Stay updated on emerging data technologies and best practices.
Qualifications & Skills:
Bachelor's degree in Computer Science, Data Science, Information Technology, or related field.
Basic knowledge of databases (SQL, Oracle, MySQL, PostgreSQL, or NoSQL).
Familiarity with data warehousing, ETL concepts, and data pipelines.
Programming knowledge in Python, Java, or other relevant languages (preferred).
Strong analytical, problem-solving, and logical thinking skills.
Good communication and collaboration abilities.
Eagerness to learn new technologies and grow in data development.
What We Offer:
Training and mentorship in data development and engineering.
Hands-on exposure to database technologies and real-world data projects.
Career development opportunities in data management and analytics.
* A supportive and innovative work environment.
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