Senior Python Developer with Snowflake

PETADATA; West (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

PETADATA is seeking a Senior Python Developer with Snowflake for a high-impact data engineering role in Texas. The candidate will lead design and development of scalable data solutions, optimize pipelines, and contribute to enterprise data platforms.

A 12+ year track record in Python, SQL, and cloud data technologies is required. Responsibilities include building ETL/ELT pipelines, Snowflake schema design, and collaboration with cross-functional teams to deliver reliable data processing.

Qualifications

• 12+ years in Python development or data engineering.
• Expertise with Snowflake Data Cloud and SQL performance tuning.
• Experience with ETL/ELT, data warehousing, and data modeling.
• Cloud platforms: AWS, Azure, or GCP; strong DevOps collaboration.

Responsibilities

• Design and maintain scalable Python data processing apps with Snowflake.
• Build and optimize ELT pipelines for ingestion and transformation.
• Design Snowflake schemas and optimize data warehouses.
• Develop reusable Python frameworks, APIs, and automation.
• Collaborate with stakeholders and data architects to gather requirements.
• Optimize SQL queries and data workflows for performance.
• Lead code reviews and mentor junior engineers.
• Collaborate with DevOps for CI/CD pipelines and deployments.

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

Education

Bachelors/Masters in CS/IT/Engineering

Tools

Docker

Kubernetes

Git/GitHub

Apache Airflow

DBT

Kafka

Job description

Senior Python Developer with Snowflake

Experience: 12+ Years, Location: TX (Onsite)

Work type: C2C

Visa Type: GC and US Citizen, H1B,H4-EAD

Job Summary

PETADATA is seeking a Senior Python Developer with Snowflake having 12+ years of experience in Python development, Snowflake, SQL, ETL/ELT, Data Warehousing, and Cloud Technologies (AWS/Azure/GCP). The candidate will be responsible for building scalable data solutions, optimizing data pipelines, and supporting enterprise data platforms.

Roles & 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.

Required Qualifications

• 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.

Main 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.

Education

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

Candidates are required to attend Phone/video calls and in-person interviews. After the Selection, the candidate (He/She) should undergo all background checks on Education and Experience.

After carefully reviewing your experience and skills, one of our HR team members will contact you on the next steps.

Contact No: [phone]