Must have: -Proven experience in data engineering with a strong track record of designing, developing, and maintaining data pipelines using AWS Services (Lambda, Glue, SNS etc) and other relevant technologies to ensure data availability and quality.
Strong understanding of cloud concepts and services (AWS preferred) to design and implement scalable and cost-effective solutions. - Strong skills in REST APIs to facilitate data access and integration with other systems.
Strong skills in SQL query language (to develop and optimize SQL queries to extract, transform, and load data efficiently). - Good knowledge of data architecture, data modeling, and data warehousing concepts.
Experience with Python (data processing and analysis) and with AWS services (for data storage, computation, and analytics). - Experience in DevOps practices, showcasing hands-on experience in CI/CD automation (Terraform , Jenkins etc)
Must be a fast learner in order to adapt quickly to new technologies, tools, and methodologies and to stay current in the ever-evolving data engineering landscape.
Fluent in English to facilitate communication with a diverse and global team.
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