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Oracle + PySpark Data Engineer (Remote)

Bengaluru, KA, India

Full Time Mid-level / Intermediate USD 90K - 155K *

Pr

PradeepIT Consulting Services Pvt Ltd

PradeepIT, supported by Asia's largest tech professional network, revolutionizing global talent acquisition. Discover the potential of hiring top Asian tech talents at ten times the speed, starting today!

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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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Big Data Data analysis Data pipelines Data quality Data Warehousing ETL Oracle Pipelines PySpark Python Security SQL

Regions: Remote/Anywhere Asia/Pacific
Country: India
Job stats:  3  0  0
Category: Engineering Jobs

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