Senior Python Developer with Snowflake
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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.
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Build and optimize enterprise-level ETL/ELT pipelines for data ingestion, transformation, and loading.
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Design and implement efficient Snowflake data warehouse solutions, including schema design, data modeling, and performance optimization.
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Develop reusable and scalable Python frameworks, APIs, and automation solutions.
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Collaborate with business stakeholders, data architects, and cross-functional teams to gather requirements and translate them into technical solutions.
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Optimize SQL queries, stored procedures, and data workflows for maximum performance and reliability.
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Integrate data from various sources including relational databases, APIs, cloud storage, and third-party applications.
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Implement data quality, governance, security, and compliance best practices across the data ecosystem.
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Monitor, troubleshoot, and resolve production issues related to data pipelines and Snowflake environments.
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Lead code reviews, establish development standards, and mentor junior team members.
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Participate in Agile ceremonies including sprint planning, daily stand-ups, and retrospectives.
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Work closely with DevOps teams to implement CI/CD pipelines and automate deployment processes.
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Evaluate and recommend new technologies and best practices to improve platform efficiency and scalability.
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12+ years of experience in Python development, Data Engineering, or related fields.
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Strong expertise in Python Programming (OOP, Multithreading, APIs, Data Processing).
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Extensive hands-on experience with Snowflake Data Cloud.
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Strong experience in SQL, query optimization, and database performance tuning.
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Expertise in ETL/ELT Development and data integration methodologies.
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Experience with Data Warehousing, Data Modeling, and dimensional modeling techniques.
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Hands-on experience with PySpark and large-scale data processing frameworks.
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Experience with cloud platforms such as AWS, Azure, or GCP.
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Strong knowledge of Apache Airflow, workflow orchestration, and scheduling tools.
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Experience with REST APIs, JSON, and third-party integrations.
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Proficiency in version control tools such as Git/GitHub.
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Experience with CI/CD Pipelines, Docker, and Kubernetes.
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Knowledge of DBT (Data Build Tool) is highly preferred.
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Familiarity with Kafka or other streaming technologies is a plus.
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Stron
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