In this vital role, you will be responsible for designing, building, maintaining, analyzing, and interpreting data to deliver actionable insights that drive business decisions. This position involves working with large datasets, developing reports, supporting and implementing data governance initiatives, and visualizing data to ensure it is accessible, reliable, and efficiently managed. The ideal candidate has deep technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes.
Roles & Responsibilities
- Data Solution Development: Design, develop, and maintain data solutions for data generation, collection, and processing. You will contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions.
- Full-Stack Development: Develop and maintain front-end applications using HTML, CSS, and JavaScript frameworks (React, Angular). You will also build and maintain back-end services using languages like Python, Java, or Node.js.
- Collaboration & Code Quality: Collaborate with design and product teams to understand user needs and translate them into technical requirements. You will write clean, efficient, and well-tested code, and participate in code reviews, providing constructive feedback.
- System Performance & Adaptation: Maintain system uptime and optimal performance. You will continuously learn and adapt to new technologies and industry trends.
- Agile Participation: Participate in sprint planning meetings and provide estimations on technical implementation.
Technical Skills
- Hands-on experience with web development, proficient with HTML, CSS, JavaScript.
- Hands-on experience with backend development, proficient with SQL/NoSQL databases, and proficient in Python and SQL.
- Good understanding of data modeling, data warehousing, and data integration concepts is a plus.
- Cloud Computing certification is preferred.
- Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments) is a plus.
- Machine Learning Certification (preferred on Databricks or Cloud environments) is a plus.
Qualifications
- A Master's degree, a Bachelor's degree, or a Diploma in Computer Science, IT, or a related field.
Soft Skills
- Problem-Solving: Excellent analytical and troubleshooting skills, with strong problem-solving and analytical abilities.
- Communication: Strong verbal and written communication skills, with strong presentation and public speaking skills.
- Proactiveness: High degree of initiative and self-motivation, with the ability to learn new technologies quickly and manage multiple priorities successfully.
- Collaboration: Good communication and teamwork skills, with the ability to work effectively with global, virtual teams.
- Teamwork: Team-oriented, with a focus on achieving team goals.
