Senior Python Developer with Snowflake

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/Google Cloud Platform). 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 Google Cloud Platform. - 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, Google Cloud Platform, 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. Please email your resume to [email protected] Contact No: [Contact Number]