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Position Summary
We are seeking an experienced Python & Snowflake Developer to design, develop, and support scalable data solutions and analytics platforms. The ideal candidate will have hands-on experience with Python, Snowflake, SQL, cloud technologies, and modern data engineering practices. This role involves collaborating with business, data, and application teams to deliver robust data pipelines, reporting solutions, and cloud-native applications.
Key Responsibilities
- Design, develop, and optimize data warehouse solutions using Snowflake.
- Build and maintain ETL/ELT pipelines with Python and Snowflake SQL.
- Develop stored procedures, user-defined functions, and data transformation frameworks.
- Implement data quality validation, data lineage, and monitoring processes.
- Optimize Snowflake performance through warehouse sizing and query tuning.
- Develop scalable backend services, APIs, and data processing applications with Python.
- Create reusable frameworks and utilities for data ingestion and transformation.
- Develop automation scripts for operational processes and cloud resource management.
- Implement error handling, logging, and monitoring solutions for robust operations.
- Work with cloud services, such as AWS S3, Lambda, EC2, API Gateway, and CloudWatch.
- Participate in CI/CD pipeline implementation and support deployment automation.
- Collaborate with stakeholders to gather and refine requirements.
- Contribute to Agile ceremonies and prepare technical documentation.
- Support production deployments, incident management, and root cause analysis.
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
- 5+ years of software development and data engineering experience.
- Strong programming skills in Python.
- Proficiency in SQL and database development.
- Hands-on experience with Snowflake data warehouse.
- Experience supporting ETL/ELT pipelines.
- Familiarity with Git, Jira, and Agile development methodologies.
- Experience with cloud platforms, preferably AWS.
Preferred Qualifications
- Experience with Snowpark, Snowpipe, Streams, and Tasks.
- Knowledge of Data Warehousing concepts and Dimensional Modeling.
- Experience with data processing frameworks such as Pandas or PySpark.
- Experience with Docker and Kubernetes.
- Domain experience in financial services or risk management.
- Exposure to data governance, security, and compliance requirements.
- Certification in relevant cloud or data platform technologies.
- Knowledge of real-time data processing and messaging systems.
Why This Opportunity May Be Appealing
This role offers the chance to work on cutting-edge data solutions within a dynamic organization, collaborating across teams to solve complex enterprise problems. You will develop scalable, cloud-native data platforms using modern tools and methodologies, with opportunities to grow your expertise in data engineering, cloud services, and analytics.
Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support.
Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit .
Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.
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