Design and manage data infrastructure projects for clients, develop large-scale pipelines, collaborate in Agile/DevOps environments, and utilize cloud platforms.
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 OCI
We provide a collaborative environment focused on innovation, leveraging open-source software and strategic partnerships with Amazon and Google to build transformative technology solutions.
Job Responsibilities
- 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.
Core Competencies
- 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.
Preferred Qualifications
- 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, QuickSight).
- Cloud certifications (Databricks, AWS, Azure, GCP).
Top Skills
Ansible
Spark
AWS
Azure
BigQuery
Cdk
Databricks
Delta Lake
Delta Sharing
GCP
Go
Java
Kafka
Power BI
Pulsar
Python
Quicksight
Scala
Snowflake
SQL Server
Tableau
Terraform
Unity Catalog
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