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Hi,

I hope you’re doing well!

Please look at the requirements below, let us know of your interest, and send us your updated resume to [email protected]

Role: Oracle Informatica Developer with Python

Location: New York City, NY ( Day 1 Onsite )

Job Description:

1. Data Warehousing Expertise:

• Proficiency in Oracle for data warehousing and database management.
• Extensive experience with Informatica, a popular ETL (Extract, Transform, Load) tool, used for data integration and management.

1. Programming and Scripting:

• Strong experience with PL/SQL for writing and optimizing SQL queries in Oracle databases.
• Proficiency in Python, particularly for data manipulation, automation, and cloud data processing.
• Experience working with Unix technologies, potentially for shell scripting and system administration tasks.

1. Cloud Data Warehousing:

• Knowledge of cloud-based data warehousing solutions, such as those offered by AWS (Amazon Web Services), likely involving services like Amazon Redshift, AWS Glue, or Amazon S3.

1. AWS Data Services:

• Familiarity with AWS Data Services, which could include services like AWS RDS, AWS Lambda, AWS S3, and others that are relevant to cloud-based data storage, processing, and analysis.

Responsibilities:

1. Application Design and Development:

• Design, develop, and maintain data applications that leverage Oracle, Informatica, Python, and Unix technologies.
• Focus on creating efficient and scalable data processing applications.

1. Cross-Functional Collaboration:

• Work closely with other teams (e.g., data analysts, business stakeholders, and developers) to define, design, and deploy new features.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.

1. Application Optimization:

• Continuously work on optimizing the performance of applications, ensuring they are scalable and can handle large datasets effectively.

1. Security and Data Protection:

• Implement necessary security measures to protect sensitive data and comply with relevant data protection protocols and standards.

1. System Maintenance and Troubleshooting:

• Troubleshoot and resolve issues in existing systems.
• Provide upgrades and maintenance to ensure the systems remain effective, secure, and aligned with the latest technologies.

1. Code Quality:

• Write clean, maintainable, and efficient code that adheres to best practices.
• Ensure the code is well-documented and easy for other engineers to understand and maintain.

1. Industry Awareness:

• Keep up to date with the latest trends, technologies, and best practices in the data engineering and cloud computing fields.
• Evaluate and implement new technologies that can improve existing systems and processes.

Regards,

Kishore Reddy

[email protected]

linkedin.com/in/kishore-reddy-b1a852a8