Data Engineer
Object Computing, Inc. (OCI)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.About OCIWe provide a collaborative environment focused on innovation, leveraging open-source software and strategic partnerships with Amazon and Google to build transformative technology solutions.Job ResponsibilitiesDesign, build, and optimize large-scale data pipelines (Azure, AWS, GCP)Develop data ingestion and storage solutionsImplement scalable APIs and ensure system performanceManage big data infrastructure and cloud deploymentsCollaborate with developers, designers, and data scientistsWork in an Agile/DevOps environmentCore CompetenciesETL data engineering (Databricks, SQL Server, Snowflake, BigQuery, Apache Spark)Proficiency in Go, Java, Python, or ScalaProficiency 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/NoSQL databases, and cloud platformsExperience with distributed computing, DevOps tools, and data governanceFamiliarity with Delta Lake, Unity Catalog, Delta Sharing, and DLTPreferred QualificationsDegree in Computer Science, Data Engineering, or a related field, or equivalent experienceExperience with AI/ML-driven data solutions and real-time data processingExpertise in building scalable APIs and integrating with modern analytics tools (Power BI, Tableau, QuickSight)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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.