Key Responsibilities:

Design, develop and maintain data pipelines, data warehouses and data lakes using modern technologies and best practices.
Collaborate with cross-functional teams to understand data requirements and translate them into technical specifications.
Develop data models and schemas to support data analysis and reporting.
Optimize and tune data systems for performance and scalability.
Troubleshoot and resolve data-related issues in a timely manner.
Implement data security and access controls to ensure data privacy and compliance.
Stay up-to-date with industry trends and best practices in data engineering and analytics.
Mentor and train junior data developers on data engineering techniques and best practices.

Qualifications:

Bachelor's or Master's degree in Computer Science, Information Systems or a related field.
Minimum of 3 years of experience in data engineering or a related role.
Strong knowledge of SQL and experience working with relational databases.
Proficiency in at least one programming language (Python, Java, Scala).
Hands-on experience with data warehousing and ETL tools (e.g. Informatica, Talend, SSIS).
Familiarity with cloud-based data technologies (e.g. AWS, Azure, Google Cloud).
Experience with data visualization tools (e.g. Tableau, Power BI) is a plus.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.
Ability to work in a fast-paced and dynamic environment.

We offer a competitive salary, comprehensive benefits package and a collaborative and inclusive work culture. If you are passionate about data and have a strong desire to continuously learn and improve, we would love to hear from you!

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