Python - Fullstack

Accelyst is an AI consultancy and staffing firm delivering innovative AI solutions and high-quality staffing services. Backed by leadership with over 26 years of staffing and consulting experience, Accelyst supports public sector and enterprise clients with proven expertise in recruiting, compliance, and dependable delivery.

Introduction:

Candidate needs to be ONSITE - 5 DAYS/ WEEK. NO REMOTE/ HYBRID. 

The ideal candidate will have strong expertise in Python development, microservices architecture, API integration, and data engineering. This role requires close collaboration with business stakeholders, data teams, and technology partners to design, develop, and implement scalable data integration solutions supporting enterprise reporting and risk management initiatives.

Responsibilities:

• Partner with Enterprise Third Party Business, MDM, and technology support teams to deliver data integration and reporting solutions.
• Design, develop, and maintain scalable Python-based applications and microservices.
• Collaborate with cross-functional teams on data model design, integration architecture, and solution implementation.
• Gather, analyze, and translate business requirements into technical solutions.
• Develop and consume REST APIs for enterprise data integration.
• Build and maintain data ingestion, transformation, and migration pipelines.
• Analyze and process large datasets from multiple sources to support reporting and business intelligence initiatives.
• Optimize SQL queries and database performance for large-scale data processing.
• Develop and execute unit tests to ensure code quality and reliability.
• Support CI/CD processes, code deployment, and environment management.
• Work closely with DevOps teams, business stakeholders, and external vendors to deliver project objectives.

Requirements:

Required Qualifications:

• Bachelor''''s degree in Computer Science, Information Technology, or a related field.
• 4-5 years of experience in software design, development, integration, and testing.
• 4-5 years of hands-on experience with Python and microservices architecture.
• Strong experience with FastAPI and/or Django frameworks.
• 3+ years of experience with SQL, including query development, analysis, and optimization.
• Experience with relational and cloud databases such as Snowflake and PostgreSQL.
• Experience developing and integrating RESTful APIs.
• Experience working with large datasets and complex data integration processes.
• Hands-on experience with version control and DevOps tools including Git, Bitbucket, Docker, Jenkins, and Jira.
• Experience with Python testing frameworks such as PyTest or UnitTest.
• Strong understanding of Python libraries and ecosystems including Pandas, NumPy, SciPy, Dask, scikit-learn, spaCy, and NLTK.
• 2-3 years of experience building and maintaining data pipelines using Apache Airflow, dbt, or similar tools.
• Experience designing and implementing data migration and transformation pipelines using PySpark, Databricks, or Airflow.