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Job Description
Bachelor's degree in Computer Science, Information Technology, Information
Systems, Data Analytics, or a related field (or equivalent combination of education
and experience).
o 5-7 years of experience in Data Engineering or Software Engineering, with at least
2 years of hands-on experience building and deploying cloud-
based data platforms (GCP preferred).
o Strong proficiency in SQL, Java, and Python, with practical experience in designing
and deploying cloud-based data pipelines using GCP services like
BigQuery, DataForm, Dataflow, and DataProc.
o Solid understanding of Service-Oriented Architecture (SOA) and microservices,
and their application within a cloud dataplatform.
o Experience with relational databases (e.g., PostgreSQL, MySQL),
NoSQL databases, and columnar databases (e.g., BigQuery).
o Knowledge of data governance frameworks, data encryption, and data masking
techniques in cloud environments.
o Experience with unstructured data manipulation and extraction
o Experience building AI-ready data products
o Familiarity with CI/CD pipelines, Infrastructure as Code (IaC) tools like Terraform
and Tekton, and other automation frameworks.
o Excellent analytical and problem-solving skills, with the ability to troubleshoot
complex data platform and microservices issues.
o Experience in monitoring and optimizing cost and compute resources for
processes in GCP technologies (e.g., BigQuery, Dataflow, Cloud Run, DataProc).
o A passion for data, innovation, and continuous learning.
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