Design, develop, and maintain data pipelines and ETL processes for efficient data integration and transformation.
Manage and optimize data storage and data flows on Oracle Cloud Infrastructure (OCI).
Work with large-scale datasets and ensure data quality, consistency, and reliability across systems.
Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
Implement data governance, security, and compliance standards.
Monitor data pipelines, troubleshoot issues, and ensure high availability of data platforms.
Optimize database performance and ensure cost-effective cloud resource :
Proficiency in Oracle Cloud Infrastructure (OCI) and Oracle Autonomous Data Warehouse.
Hands-on experience with ETL tools (e.g., Oracle Data Integrator, Informatica, Talend, or similar).
Strong knowledge of SQL, PL / SQL, and database performance tuning.
Experience with data warehousing concepts and big data technologies.
Familiarity with Python or Scala for data processing and automation.
Experience with streaming data pipelines (e.g., Kafka, Spark Streaming).
Knowledge of data modeling and data governance best practices.
Exposure to containerization (Docker, Kubernetes) is a plus.
Strong analytical and problem-solving abilities.
Excellent communication and collaboration skills.
Ability to work independently and manage multiple priorities in a fast-paced environment.
(ref : hirist.tech)
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Data Engineer Etl • Delhi, IN
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