We are seeking a motivated and detail-oriented Data Engineering Intern to join our team. The intern will be responsible for writing SQL queries to collect data from various tables, performing joins (inner and outer), conducting data analytics and analysis, writing procedures, and modelling data. This role provides an excellent opportunity to gain hands-on experience in data engineering and analytics.
We are committed to fostering a culture of responsibility, entrepreneurial spirit, adaptability, resilience, and continuous learning. We believe in exploring new ideas, embracing failures as learning opportunities, and maintaining a hardworking and disciplined approach. If you are passionate about data engineering and align with our values, we encourage you to apply.
Key Responsibilities:
Collaborate with the data engineering team to design, develop, and maintain scalable data pipelines.
Work with relational databases (e.g., MySQL, PostgreSQL, SQL Server) to ensure data integrity and accessibility.
Gain hands-on experience with NoSQL databases (e.g., MongoDB, Cassandra, Redis) and spatial databases (e.g., PostGIS, Oracle Spatial).
Utilize scripting languages (e.g., Python) for data manipulation and analysis.
Assist in the creation of data visualizations using tools like Tableau or Power BI.
Contribute to the development and optimization of ETL (Extract, Transform, Load) processes.
Communicate effectively with team members to understand requirements and deliver results.
Qualifications:
Currently pursuing or recently completed a degree in Computer Engineering or a related field.
Strong understanding of relational databases such as MySQL, PostgreSQL, or SQL Server.
Familiarity with NoSQL databases like MongoDB, Cassandra, or Redis.
Knowledge of spatial databases such as PostGIS or Oracle Spatial.
Proficiency in scripting languages (e.g., Python) for data manipulation and analysis.
Basic knowledge of data visualization tools (e.g., Tableau, Power BI).
Understanding of ETL processes.
Strong analytical and critical thinking skills.
Excellent communication and collaboration skills.
Ability to work in a fast-paced, dynamic environment and adapt to changing priorities.
Why Join Us:
Gain practical experience in data engineering and analytics.
Work with a dynamic and innovative team.
Opportunity to learn and grow in a supportive environment.
Be a part of a company that values creativity, collaboration, and continuous improvement.
Join us in our mission to leverage data for innovative solutions and make a meaningful impact. Apply now and be a part of Bynry's exciting journey!