Sql developer [h1.location_city]

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Sql developer • new york ny

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Oracle PL / SQL developer with Python

Alignity SolutionsNew York, New York, United States

[job_card.full_time]

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Yoh, A Day & Zimmermann CompanyJersey City, New Jersey

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Staffingine LLCNew York City, New York, USA

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[job_card.full_time]

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SQL Database Administrator

VirtualVocationsAstoria, New York, United States

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Trigyn TechnologiesNY, United States

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Oracle PL / SQL developer with Python

Alignity SolutionsNew York, New York, United States

[job_card.variable_days_ago]

[job_preview.job_type]

[job_card.full_time]

[job_card.job_description]

Do you love a career where you Experience

, Grow & Contribute at

the same time, while earning at least 10% above the market? If so, we are excited to have bumped onto you.

Learn how we are redefining the

meaning of work

, and be a part of the team raved by Clients, Job-seekers and Employees.

Jobseeker Video Testimonials

Employee Glassdoor Reviews

If you are a

Oracle PL / SQL developer with Python looking for excitement, challenge and stability in your work, then you would be glad to come across this page.

We are an IT Solutions Integrator / Consulting Firm helping our clients hire the right professional for an exciting long term project. Here are a few details.

Check if you are up for maximizing your earning / growth potential, leveraging our Disruptive

Talent Solution.

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 http : / / alignity.io / careers . Alignity Solutions is an Equal Opportunity Employer, M / F / V / D.

CEO Message : Click Here

Clients Testimonial : Click Here