Data Engineer

OCI is seeking experienced Data Engineers to design, develop, and manage data infrastructure for internal and client projects within our AI/ML & Data Insights team.

We provide a collaborative environment focused on innovation, leveraging open‑source software and strategic partnerships with Amazon and Google to build transformative technology solutions.

• Design, build, and optimize large‑scale data pipelines (Azure, AWS, GCP)
• Develop data ingestion and storage solutions
• Implement scalable APIs and ensure system performance
• Manage big data infrastructure and cloud deployments
• Collaborate with developers, designers, and data scientists
• Work in an Agile/Dev Ops environment

• ETL data engineering (Databricks, SQL Server, Snowflake, Big Query, Apache Spark)
• Proficiency in Go, Java, Python, or Scala
• Proficiency in CI/CD pipelines and Infrastructure as Code (IaC) (Terraform, CDK, Ansible)
• Hands‑on experience with event‑driven architectures (Kafka, Pulsar)
• Strong knowledge of data warehousing, SQL/No
  
  SQL databases, and cloud platforms
• Experience with distributed computing, Dev Ops tools, and data governance
• Familiarity with Delta Lake, Unity Catalog, Delta Sharing, and DLT

• Degree in Computer Science, Data Engineering, or a related field, or equivalent experience
• Experience with AI/ML‑driven data solutions and real‑time data processing
• Expertise in building scalable APIs and integrating with modern analytics tools (Power BI, Tableau, Quick Sight)
• Cloud certifications (Databricks, AWS, Azure, GCP)

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.