Oracle + PySpark Data Engineer (Remote) - PradeepIT Consulting Services Pvt Ltd | Career Page

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Oracle + PySpark Data Engineer (Remote)

Bengaluru, KA, India

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Job Openings Oracle + PySpark Data Engineer (Remote)

About the job Oracle + PySpark Data Engineer (Remote)

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





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