Oracle PL/SQL developer with Python
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Role: Oracle PL/SQL developer with Python
Location: NYC
Exp: 8+Years
Requirements
We are seeking a highly skilled Oracle PL/SQL Developer with Python to join our data integrity/analysis team in the Banking and Financial domain. The ideal candidate will have extensive experience in Oracle SQL, PL/SQL, and Python , with a strong focus on data analysis, performance tuning, and data pipeline development.
The candidate must have hands-on expertise in all required skills and will be subjected to a coding test in Oracle/SQL and Python .
Responsibilities:
Develop and optimize SQL queries, stored procedures, and functions in Oracle PL/SQL.
Perform advanced data analysis and troubleshooting of complex SQL queries.
Build and manage data pipelines for integrating data into Data Warehouse (DWH) and Data Marts .
Design and implement PL/SQL objects such as stored procedures, views, materialized views, cursors, and exception handling.
Implement performance tuning strategies including partitioning, indexing, and SQL plan optimization .
Utilize Python for data manipulation, automation, and integration with Oracle databases.
Work with Python libraries such as pandas, sys, os, logger, argument parser, and Oracle connection libraries .
Develop string handling and email automation functions using Python.
Collaborate with business teams to understand data requirements and provide analytical insights.
Work within an Agile/Scrum framework for project execution.
(Preferred) Contribute to CI/CD pipelines using Jenkins/Bamboo .
(Preferred) Work with AWS services like S3 and other cloud-based tools.
Required Skills & Experience:
6+ years of relevant experience in Oracle PL/SQL and Python development .
Strong expertise in SQL joins, window functions, analytical functions, CTE, and merge statements .
Experience in SQL performance tuning and understanding execution plans.
Good knowledge of PL/SQL constructs such as triggers, cursors, and exception handling.
Proficiency in Python data structures (lists, dictionaries, tuples) and file handling.
Experience with Python for ETL and data analysis .
Hands-on experience with data manipulation using Pandas .
Strong debugging and problem-solving skills.
Excellent communication and teamwork skills.
Preferred Qualifications:
Knowledge of Banking or Capital Markets .
Experience in Python-based data processing in Snowflake/Snowpark .
Familiarity with CI/CD tools (Jenkins, Bamboo) .
Exposure to AWS services like S3 .
Benefits
Visit us at . Alignity Solutions is an Equal Opportunity Employer, M/F/V/D.
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