W2 Position (Face 2 Face Interview)
Position: Hadoop / Analytics Developer
Location: Jacksonville, FL (Onsite – 3 Days/Week)
Duration: 12+ Months (Extension Possible)
Experience: 9+ Years
Job Summary
We are looking for a *Hadoop / Analytics Developer* with strong experience in *Hadoop, Spark, Python, and SQL. The candidate will be responsible for developing, enhancing, and supporting large-scale data processing applications, including migration of existing **AB Initio* workflows to *SQL Stored Procedures*. The ideal candidate should have strong analytical, coding, and troubleshooting skills in Big Data environments.
Must-Have Skills
* 3+ years of software development experience
* Strong experience with *Hadoop*
* Hands-on experience with *Apache Spark*
* Strong *Python* programming skills
* Experience with *SQL* and *Stored Procedures*
* Experience developing and supporting Big Data applications
* Experience with unit testing, debugging, and code reviews
* Knowledge of SDLC and change management processes
* Experience with version control tools (Git, SVN, etc.)
* Strong analytical and problem-solving skills
Preferred Skills
* Experience with *AB Initio*
* Experience migrating ETL processes to SQL
* Object-Oriented Programming (Java/C++/Python)
* Data Warehousing concepts
* Visio and Microsoft Office Suite
* Debugging and performance tuning
* Healthcare domain experience
Key Responsibilities
* Develop and maintain Big Data applications using *Hadoop, Spark, Python, and SQL*.
* Convert existing *AB Initio* workflows into *SQL Stored Procedures*.
* Write clean, scalable, and efficient code for new development and enhancements.
* Perform code reviews and maintain programming standards.
* Create technical design documents and system specifications.
* Perform unit testing, debugging, and production support.
* Collaborate with Business Analysts, Developers, Project Managers, and vendors.
* Participate in application deployment and release activities.
* Ensure application security, data integrity, and compliance with IT controls.
* Troubleshoot performance issues and optimize data processing jobs.
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