Senior Python Developer with Snowflake

PETADATA is seeking a Senior Python Developer with Snowflake experience to build scalable data solutions, optimize data pipelines, and support enterprise data platforms.

Responsibilities

• Design, develop, and maintain scalable data processing applications using Python and Snowflake.
• Build and optimize enterprise-level ETL/ELT pipelines for data ingestion, transformation, and loading.
• Design and implement efficient Snowflake data warehouse solutions, including schema design, data modeling, and performance optimization.
• Develop reusable and scalable Python frameworks, APIs, and automation solutions.
• Collaborate with business stakeholders, data architects, and cross-functional teams to gather requirements and translate them into technical solutions.
• Optimize SQL queries, stored procedures, and data workflows for maximum performance and reliability.
• Integrate data from various sources including relational databases, APIs, cloud storage, and third-party applications.
• Implement data quality, governance, security, and compliance best practices across the data ecosystem.
• Monitor, troubleshoot, and resolve production issues related to data pipelines and Snowflake environments.
• Lead code reviews, establish development standards, and mentor junior team members.
• Participate in Agile ceremonies including sprint planning, daily stand-ups, and retrospectives.
• Work closely with DevOps teams to implement CI/CD pipelines and automate deployment processes.
• Evaluate and recommend new technologies and best practices to improve platform efficiency and scalability.

Requirements

• 12+ years of experience in Python development, Data Engineering, or related fields.
• Strong expertise in Python Programming (OOP, Multithreading, APIs, Data Processing).
• Extensive hands-on experience with Snowflake Data Cloud.
• Strong experience in SQL, query optimization, and database performance tuning.
• Expertise in ETL/ELT Development and data integration methodologies.
• Experience with Data Warehousing, Data Modeling, and dimensional modeling techniques.
• Hands-on experience with PySpark and large-scale data processing frameworks.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Strong knowledge of Apache Airflow, workflow orchestration, and scheduling tools.
• Experience with REST APIs, JSON, and third-party integrations.
• Proficiency in version control tools such as Git/GitHub.
• Experience with CI/CD Pipelines, Docker, and Kubernetes.
• Knowledge of DBT (Data Build Tool) is highly preferred.
• Familiarity with Kafka or other streaming technologies is a plus.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and stakeholder management skills.

Skills

• Python
• Snowflake
• SQL
• ETL/ELT
• Data Warehousing
• Data Modeling
• PySpark
• AWS, Azure, GCP
• Apache Airflow
• DBT
• REST APIs
• Git
• CI/CD
• Docker
• Kubernetes
• Kafka
• Data Integration
• Performance Tuning

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related field.

Location: TX (Onsite). Visa sponsorship available for GC, US Citizen, H1B, and H4-EAD holders. Candidates will attend phone/video and in-person interviews and undergo background checks on education and experience.