The Applications Development Senior Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities.
Responsibilities:
Recommended Qualifications:
Education:
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Design & Development: Create and optimize scalable ETL (Extraction, Transformation, Loading) pipelines using PySpark for massive datasets.
Coding & Engineering: Write clean, efficient, well-documented code primarily in Python (PySpark) often leveraging frameworks/tools.
Collaboration: Work with cross-functional teams (senior developers, data engineers, analysts, business partners) to understand data requirements and ensure seamless solution integration.
Troubleshooting & Optimization: Debug and resolve data processing issues and performance bottlenecks in Spark applications and other big data technologies.
Full SDLC Involvement: Participate in the entire software development lifecycle, from requirements analysis and design to testing, deployment, and operations.
Data Integrity: Ensure high data quality and integrity throughout the data lifecycle.
This candidate possesses 4-8 years of experience in developing and managing Enterprise Applications, demonstrating a robust foundation in Big Data technologies and a strong grasp of software development principles.
Key Experience & Expertise:
Enterprise Application Development: 4-8 years in developing and managing enterprise-grade applications.
Object-Oriented Programming (OOP): Solid foundation in OOP concepts.
Big Data Development: Expertise in PySpark, HDFS, Hive, Sqoop, and Hadoop for Big Data environments.
Database Technologies: Good exposure to SQL Server and ORACLE databases. Experience with query writing for data validation/manipulation
Scripting & Automation: Proficient in Shell Scripting and experience with job scheduling tools like Autosys.
BI Reporting Tools: Some exposure to BI tools, specifically Tableau.
Tools & Practices: Proficient with Git; experience with JIRA, Confluence. Familiarity with DevOps and CI/CD pipelines.
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Technology
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Applications Development
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Full time
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Please see the requirements listed above.
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For complementary skills, please see above and/or contact the recruiter.
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