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Senior Python Developer with Snowflake

Job Title: 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.

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