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Leuwint Technologies - Oracle Data Engineer - ETL/SQL

6 years

0 Lacs

Pune Maharashtra India

Posted:3 days ago| Platform: Linkedin logo

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Skills Required

oracle data etl sql engineering analytics spark pyspark hive integration security compliance communication collaboration database support schedule integrator extract tuning indexes efficiency processing governance aws azure agile devops pipeline replication tracking design archiving strategies server postgresql

Work Mode

On-site

Job Type

Full Time

Job Description

  • Minimum 6 years of experience in data engineering and analytics
  • Strong hands-on experience in Oracle Analytics Cloud (OAC) and OCI Big Data Platform
  • Proficiency in Spark, PySpark, Hive, and SQL
  • Deep understanding of data integration, ETL pipelines, and data modeling techniques
  • Experience working with large-scale data systems and cloud-based architectures
  • Familiarity with data security, access control, and compliance best practices
  • Strong analytical and problem-solving skills
  • Excellent communication and team collaboration abilities.

Roles & Responsibilities

  • Create robust database structures, schemas, and data models using Oracle Database technologies to support business intelligence and analytics initiatives.
  • Develop, schedule, and monitor ETL workflows using Oracle Data Integrator (ODI) or PL/SQL scripts to extract, transform, and load data from various sources.
  • Perform tuning of Oracle queries, stored procedures, and indexes to enhance the speed and efficiency of data processing and storage.
  • Implement validation rules, data governance standards, and security protocols to maintain high-quality, compliant, and secure datasets.
  • Work closely with data analysts, architects, and business units to understand requirements and deliver scalable, reliable Oracle data solutions.
  • Integrate on-premise Oracle databases with cloud platforms like Oracle Cloud Infrastructure (OCI), AWS, or Azure for hybrid data solutions.
  • Participate in Agile ceremonies and work closely with DevOps teams for CI/CD pipeline integration of data workflows.
  • Ensure high availability and performance of Oracle databases through tuning and monitoring.
  • Utilize tools like Oracle Golden Gate or Oracle Streams to enable real-time data replication and change tracking across systems.
  • Design and implement long-term data archiving strategies using Oracle ILM (Information Lifecycle Management.
  • Develop solutions for moving data between Oracle and other platforms (e.g., SQL Server, Snowflake, PostgreSQL) via DB links or APIs.

Job Location :

Pune(ref:hirist.tech)

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