Job Summary

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 Requirements

Required:

• 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

Overall Responsibilities

• 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.

Technical Skills

• 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.

Experience Requirements

• 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.

Day-to-Day Activities

• 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.

Qualifications

• 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.

Professional Competencies

• 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.