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.

In Short

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/DevOps environment.

Requirements

ETL data engineering (Databricks, SQL Server, Snowflake, BigQuery, 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/NoSQL databases, and cloud platforms.
Experience with distributed computing, DevOps tools, and data governance.
Familiarity with Delta Lake, Unity Catalog, Delta Sharing, and DLT.

Benefits

Collaborative environment focused on innovation.
Leverage open-source software and strategic partnerships with Amazon and Google.
Opportunity to work on transformative technology solutions.

Object Computing

Object Computing, Inc. (OCI) is a technology company that specializes in creating innovative solutions using open-source software and strategic partnerships with industry leaders like Amazon and Google. With a focus on sectors such as Aerospace, Energy, and Agriculture, OCI develops real-time, cloud-enabled, and distributed systems that foster innovation and drive progress across various industries. The company emphasizes collaboration and agile methodologies to deliver high-performance applications and services.

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