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(OCI)\nOCI is seeking experienced Data Engineers to design, develop, and manage data infrastructure for internal and client projects within our AI/ML & Data Insights team.\nAbout OCI\nWe provide a collaborative environment focused on innovation, leveraging open-source software and strategic partnerships with Amazon and Google to build transformative technology solutions.\nJob Responsibilities\nDesign, build, and optimize large-scale data pipelines (Azure, AWS, GCP)\nDevelop data ingestion and storage solutions.\nImplement scalable APIs and ensure system performance.\nManage big data infrastructure and cloud deployments.\nCollaborate with developers, designers, and data scientists.\nWork in an Agile/DevOps environment.\nCore Competencies\nETL data engineering (Databricks, SQL Server, Snowflake, BigQuery, Apache Spark).\nProficiency in Go, Java, Python, or Scala.\nProficiency in CI/CD pipelines and Infrastructure as Code (IaC) (Terraform, CDK, Ansible).\nHands-on experience with event-driven architectures (Kafka, Pulsar).\nStrong knowledge of data warehousing, SQL/NoSQL databases, and cloud platforms.\nExperience with distributed computing, DevOps tools, and data governance.\nFamiliarity with Delta Lake, Unity Catalog, Delta Sharing, and DLT.\nPreferred Qualifications\nDegree in Computer Science, Data Engineering, or a related field, or equivalent experience.\nExperience with AI/ML-driven data solutions and real-time data processing.\nExpertise in building scalable APIs and integrating with modern analytics tools (Power BI, Tableau, QuickSight).\nCloud certifications (Databricks, AWS, Azure, GCP).","description_format":"text","description_chars":1622,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United 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