Posted today · be early

Oracle + PySpark Data Engineer

PradeepIT Consulting Services Pvt Ltd

IndiaremotePosted 1 day ago

Skill Required

Data-EngineerData-AnalystPySpark-DeveloperOracle-DeveloperETL-DeveloperOracle-Database-EngineerPython-Data-EngineerOracle-Data-EngineeringData EngineerSparkOracleQuery OptimizationData WarehousinganalyticalanalyticssecurityPythondesignjQueryETLSQLandFulltime

Key highlights

Experience: 5 to 7 Years
Key Tools: Oracle, PySpark, SQL, PL/SQL, Python

Role overview

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.

Responsibilities

Data Integration: Integrate data from various sources into Oracle databases and design PySpark data pipelines to enable data transformation and analytics.
Data Transformation: Develop and maintain data transformation workflows using PySpark to clean, enrich, and structure data for analytical purposes.
Data Modeling: Create and maintain data models within Oracle databases, ensuring data is structured and indexed for optimal query performance.
Query Optimization: Write complex SQL queries and PySpark transformations for efficient data retrieval and processing.
Data Analysis: Collaborate with data analysts and business teams to provide insights through data analysis and reporting.
Data Quality: Implement data quality checks, error handling, and validation processes to ensure data accuracy and reliability.
Performance Tuning: Optimize Oracle database and PySpark jobs to improve and overall data processing and analysis performance. models, ETL processes, and codebase

Requirements

Experiance:5 to 7 Years
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 standards