Synechron is seeking a Senior Python Developer with Snowflake expertise to build, optimize, and support scalable cloud-based data solutions. The role focuses on Python development, Snowflake data warehousing, ETL/ELT pipelines, SQL optimization, and data integration.
Software RequirementsRequired:
- 7+ years of Python development experience
- Strong Snowflake data warehouse experience
- Advanced SQL, stored procedures, and query optimization
- ETL/ELT pipeline development
- Pandas, NumPy, and PySpark
- Apache Airflow, Matillion, Informatica, or Azure Data Factory
- AWS, Azure, or Google Cloud experience
- Git and REST API integration
Preferred:
- Snowflake Streams, Tasks, Snowpipe, and dynamic tables
- dbt, Docker, Kubernetes, and CI/CD
- Kafka or other data-streaming platforms
- Data quality and monitoring tools
- Design, develop, and maintain Python and Snowflake data pipelines.
- Build and optimize ETL/ELT workflows for large-scale data.
- Create Snowflake databases, schemas, tables, views, procedures, streams, and tasks.
- Develop data models for reporting, analytics, and business intelligence.
- Optimize SQL queries, Snowflake warehouses, clustering, and compute usage.
- Integrate APIs, relational databases, cloud storage, and external systems.
- Implement data quality, security, governance, and compliance controls.
- Troubleshoot production issues and improve pipeline reliability.
- Collaborate with architects, analysts, developers, and business stakeholders.
- Mentor team members and contribute to data engineering standards.
Programming:
Essential: Python, advanced SQL, scripting, testing, and error handling.
Preferred: Java, Scala, or asynchronous Python.Databases/Data Management:
Essential: Snowflake, data modeling, dimensional modeling, schemas, tables, views, stored procedures, Streams, Tasks, and query tuning.
Preferred: Snowpipe, dbt, NoSQL, and data cataloging.Cloud:
Essential: AWS, Azure, or Google Cloud.
Preferred: Cloud storage, Docker, Kubernetes, and infrastructure automation.Frameworks and Libraries:
Essential: Pandas, NumPy, PySpark, and an orchestration tool.
Preferred: Great Expectations, FastAPI, Flask, or Kafka.Development Tools:
Essential: Git, CI/CD, Agile, code reviews, automated testing, logging, and monitoring.
Preferred: Docker, SonarQube, infrastructure-as-code, and observability tools.Security:
Essential: Access control, encryption, secure credentials, data privacy, and secure API integration.
Preferred: OAuth 2.0, OpenID Connect, Snowflake masking policies, and row-access policies.
- 7+ years of professional Python development experience.
- Strong experience in Snowflake, data engineering, ETL/ELT, SQL, and data modeling.
- Experience integrating APIs, databases, cloud storage, and external systems.
- Experience supporting production data platforms and resolving performance issues.
- Financial services or regulated-industry experience is preferred.
- Equivalent technical experience, training, or relevant projects may be considered.
- Develop Python code, SQL scripts, Snowflake objects, and orchestration workflows.
- Build data ingestion, transformation, validation, and publishing processes.
- Monitor pipelines, data quality, query performance, and warehouse utilization.
- Investigate failed jobs, data issues, and production incidents.
- Participate in planning meetings, design discussions, code reviews, and retrospectives.
- Collaborate with technical teams and business stakeholders.
- Prepare technical documentation and support materials.
- Make implementation decisions within approved architecture and security standards.
- Bachelor’s degree in computer science, information technology, data engineering, or a related field, or equivalent practical experience.
- Snowflake, cloud, Python, or data engineering certifications are preferred.
- Completion of Synechron security, compliance, and role-specific training is required.
- Ongoing learning in Python, Snowflake, cloud technologies, security, and data governance is expected.
- Strong analytical and problem-solving skills.
- Clear communication with technical and non-technical stakeholders.
- Effective collaboration and mentoring abilities.
- Ability to manage priorities and meet delivery commitments.
- Adaptability to changing requirements and technologies.
- Focus on automation, data quality, security, performance, and efficient resource use.
SYNECHRON’S DIVERSITY & INCLUSION STATEMENT
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.
All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
Candidate Application Notice
Skills Required
- 7+ years of professional Python development experience
- Strong Snowflake data warehouse experience
- Advanced SQL, stored procedures, and query optimization experience
- ETL/ELT pipeline development experience
- Experience with Pandas, NumPy, and PySpark
- Experience with Apache Airflow, Matillion, Informatica, or Azure Data Factory
- Experience with AWS, Azure, or Google Cloud
- Experience with Git and REST API integration
- Experience with data modeling and dimensional modeling
- Experience supporting production data platforms and resolving performance issues
- Experience integrating APIs, databases, cloud storage, and external systems
- Knowledge of scripting, testing, error handling, logging, monitoring, code reviews, and automated testing
- Knowledge of access control, encryption, secure credentials, data privacy, and secure API integration
- Bachelor's degree in computer science, information technology, data engineering, or a related field, or equivalent practical experience
- Completion of Synechron security, compliance, and role-specific training
- Experience with Snowflake Streams, Tasks, Snowpipe, and dynamic tables
- Experience with dbt, Docker, Kubernetes, and CI/CD
- Experience with Kafka or other data-streaming platforms
- Experience with data quality and monitoring tools
- Financial services or regulated-industry experience
- Snowflake, cloud, Python, or data engineering certifications
Synechron Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Synechron and has not been reviewed or approved by Synechron.
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Fair & Transparent Compensation — Pay is frequently characterized as competitive, particularly relative to large service-consulting peers and in certain in-demand skill areas. Compensation sentiment appears strongest when staffing is stable on strong client engagements and for market-aligned roles in major hubs.
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Healthcare Strength — Healthcare coverage is often portrayed as a strong point in the U.S., with broad coverage and relatively favorable out-of-pocket experiences. Core medical, dental, and vision options are consistently described as meeting or exceeding a baseline expectation for consulting roles.
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Equity Value & Accessibility — Equity was made broadly accessible through a company-wide RSU grant tied to a major revenue milestone. This is positioned as a notable upside even if it is framed as a one-time recognition event rather than an ongoing program.
Synechron Insights
What We Do
At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,700+, and has 48 offices in 19 countries within key global markets. For more information on the company, please visit our website: www.synechron.com.
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