Oracle + PySpark Data Engineer
# Oracle + PySpark Data Engineer **PradeepIT Consulting Services Pvt Ltd** · India · `Remote` · `Full Time` 💼 **Уровень роли:** `Mid-level` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data-Engineer]` `[Data-Analyst]` `[PySpark-Developer]` `[Oracle-Developer]` `[ETL-Developer]` `[Oracle-Database-Engineer]` `[Python-Data-Engineer]` `[Oracle-Data-Engineering]` --- ### About the Role Job Description: Experiance:5 to 7 Years We are seeking a highly skilled and motivated Oracle + PySpark Data Engineer/Analyst to join our team. The ideal candidate will be responsible for leveraging the Oracle database and PySpark to manage, transform, and analyze data to support our business's decision-making processes. This role will play a crucial part in maintaining data integrity, optimizing data processes, and enabling data-driven insights. Key Responsibilities: 1. Data Integration: Integrate data from various sources into Oracle databases and design PySpark data pipelines to enable data transformation and analytics. 2. Data Transformation: Develop and maintain data transformation workflows using PySpark to clean, enrich, and structure data for analytical purposes. 3. Data Modeling: Create and maintain data models within Oracle databases, ensuring data is structured and indexed for optimal query performance. 4. Query Optimization: Write complex SQL queries and PySpark transformations for efficient data retrieval and processing. 5. Data Analysis: Collaborate with data analysts and business teams to provide insights through data analysis and reporting. 6. Data Quality: Implement data quality checks, error handling, and validation processes to ensure data accuracy and reliability. 7. Performance Tuning: Optimize Oracle database and PySpark jobs to improve Known Tools - Proven experience in working with Oracle databases and PySpark. Strong proficiency in SQL, PL/SQL, Python, and PySpark. - Familiarity with Oracle database administration, data warehousing, and ETL concepts. - Understanding of big data technologies and distributed computing principles. - Strong analytical and problem-solving skills. - Excellent communication and teamwork abilities. - Knowledge of data security and compliance standardsand overall data processing and analysis performance. - Documentation: Create and maintain comprehensive documentation for data models, ETL processes, and codebase Originally posted on Himalayas
- Data-Engineer
- Data-Analyst
- PySpark-Developer
- Oracle-Developer
- ETL-Developer
- Oracle-Database-Engineer
- Python-Data-Engineer
- Oracle-Data-Engineering
Наблюдалась 2026-10-01, впервые 2026-10-01, источник — Himalayas (JSON API).