Title: Software Developer
Location: Charlotte, NC
Duration: 24 months
Schedule - 5 days on-site
Work Engagement: W2
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits
Summary:
In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Scrum or Agile. Review and analyze complex multi-faceted, larger scale, or longer-term Scrum Master challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel.
Responsibilities:
- Design, develop, and maintain scalable data pipelines and ETL processes to support business analytics and reporting needs
- Write complex SQL and PL/SQL queries to extract, transform, and load data from multiple sources
- Develop and optimize data processing applications using Python or Java
- Implement and manage data workflows using ETL tools and data pipeline frameworks
- Work with Parquet files stored in S3 buckets to ensure efficient data storage and retrieval
- Design and maintain both relational and NoSQL database solutions to meet diverse data requirements
- Leverage big data technologies such as Apache Spark, Hadoop, or Kafka to process large-scale datasets
- Perform performance tuning on databases, queries, and data pipelines to optimize system efficiency
- Automate reporting processes and data workflows to improve operational efficiency
- Integrate artificial intelligence capabilities into data solutions to enhance analytical capabilities
- Deploy and manage data infrastructure on cloud platforms including AWS, GCP, or Azure
- Participate actively in Agile ceremonies including backlog grooming, sprint planning, and daily stand-up meetings
Qualifications:
- Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
- Data Engineering experience
- Proficiency in Database, SQL, PLSQL skills.
- Experience with Python or Java
- Experience with ETL tools and data pipeline frameworks
- Experience with Parquet files in S3 buckets
- Familiarity with relational and NoSQL database
- Familiarity with big data technologies such as Apache Spark, Hadoop, or Kafka
- Performance Tuning and Automation: Hands-on experience in performance tuning, including any report automations involved.
- Agile Methodology: Experience in working in Agile projects, including participation in Backlog grooming, sprint planning, and Daily stand-up meetings.
- Experience with Artificial Intelligence
- Experience with cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure
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