Python/PySpark Developer

Rutherford, NJ, US • Posted 7 hours ago • Updated 7 hours ago
Contract W2
On-site
USD $72.47 - 86.96 per hour
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Job Details

Skills

  • Financial Services
  • Apache Kafka
  • Databricks
  • Scalability
  • Cloud Computing
  • Continuous Integration
  • Continuous Delivery
  • Data Quality
  • Continuous Improvement
  • Data Engineering
  • Application Development
  • ELT
  • Extract
  • Transform
  • Load
  • PySpark
  • YAML
  • JSON
  • API
  • Spring Framework
  • GitHub
  • Microservices
  • Data Analysis
  • Python
  • Scala
  • SQL
  • Relational Databases
  • Data Modeling
  • Data Warehouse
  • Communication
  • Collaboration
  • Problem Solving
  • Conflict Resolution
  • Privacy
  • Artificial Intelligence
  • Recruiting
  • MEAN Stack
  • Customer Service
  • Training And Development
  • SAP BASIS

Summary

Software Guidance & Assistance, Inc., (SGA), is searching for a Python/PySpark Developer for a right to hire assignment with one of our premier financial services clients in Rutherford, NJ .

Responsibilities :
  • Design, develop, and maintain scalable, enterprise-grade AI agents , supporting ELT/ETL processes to handle large data volumes using the Python, FAST API, Microservices , PySpark, Kafka and Databricks ecosystem.
  • Develop, deploy, and automate microservice integrations to support data-intensive applications, ensuring scalability, resilience, and maintainability using cloud native infrastructure and openshift or Kubernates architecture including CI/CD pipelines.
  • Ensure data quality, integrity, and security throughout the entire data lifecycle.
  • Contribute to the continuous improvement of data engineering processes, standards, and best practices within the team.
Required Skills :
  • 8+ years of overall experience in large-scale application development with recent mandatory platform for the secure and scalable deployment of AI agents into application contexts
  • Minimum of 5+ years of proven experience in a Python and pyspark Engineering lead role focused on building enterprise-grade, high-volume ELT/ETL processes using the PySpark.
  • Hands-on experience with YAML, JSON, FAST API or Spring boot, Github Copilot
  • Proven experience developing and automating microservice integrations to support data-intensive applications.
  • Proficiency in at least one programming language commonly used for data analytics, engineering, such as Python or Scala.
  • Strong SQL skills and experience with various relational databases.
  • Deep understanding of data modeling, data warehousing concepts, Data Mesh architecture, and data federation.
  • Excellent communication, collaboration, and problem-solving skills
By applying for a job with SGA, you agree to allow SGA to process your application for this and future opportunities in accordance with our Privacy Policy. Also, to ensure timely processing, you agree to be contacted by our AI recruiter via email, text, or phone. Message frequency varies and data rates may apply, but you can reply STOP to any SMS message to opt-out of texts and may contact SGA at to opt-out of AI communications. The choice not to engage with AI will not adversely impact your consideration for placement. AI is not used to make any hiring determinations.

SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .

#LI-AS1

SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: sgainc
  • Position Id: 26-02196
  • Posted 7 hours ago

Company Info

About Software Guidance & Assistance

Founded in 1981, SGA is a technology and resource solutions provider with a national footprint and headquartered in the shadow of Wall Street. We’re a certified women-owned business. We provide contingent staffing, direct placement, and professional and managed services to transform businesses and evolve careers. We’re small enough to tailor our services to each client and big enough to deliver for some of the world’s largest employers. Our professionals are experts in areas such as IT, finance, accounting, risk, and clinical.

SGA provides contingent staffing, direct placement, and professional and managed services nationwide for Fortune 500 companies, mid-size businesses and select startups.

Our core skillsets include all areas of technology – business & data analysis, cyber & network security, database administration, development & architecture, infrastructure, program & project management, quality assurance & testing. We also deliver talent across professional business functions such as finance, accounting, risk, and clinical.

Our Professional & Managed Services team delivers IT projects through onshore, offshore and hybrid delivery models. We develop software products, modernize applications, add features, and integrate and maintain systems. Our scope covers, among others, complex application suites, data management and visualizations, machine learning and mobile applications.

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