HCLTech
Python Snowflake DE_5+ years_Rotational shift_Pune
Skills
2 months ago
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Important information
Contract type:
Permanent
Salary:
₹1,000,000 – ₹2,000,000 / year
Location:
Pune, Maharashtra, India
Work mode:
Onsite
Published on:
24 August 2026
What they need
HI,
Greetings for the day !!!
We at HCL are looking Snowflake Data Engineers
Location: Pune
Shifts: 2 PM - 1130 PM (Rotational Shifts)
If interested reach us on [email protected]
Provide us the details below:
Total years of exp:
Exp in Snowflake:
Exp in Python:
Exp in Cosmos/Claude:
Current CTC:
Expected CTC:
Notice Period:
Current location:
Preferred location:
Detailed Responsibilities
- Design, develop, and maintain data engineering and data science solutions using Snowflake, Python, and AI/Cloud platforms on AWS.
- Build and optimize Snowflake applications, utilizing Snowflake AI/Cortex platform features such as Cortex agents, search, and LLM, with a focus on context enrichment via Prompts or Retrieval-Augmented-Generation methods.
- Implement robust data modeling techniques and manage unstructured data sources from cloud-based data lakes (e.g., AWS S3).
- Develop, test, and deploy Python applications, including AWS Lambda functions, leveraging best practices in object-oriented programming, data structures (Pandas, DataFrames), and server-side concurrency/multithreading.
- Utilize modern development tools (VS Code, Anaconda) and version control systems (Git, Bitbucket).
- Employ frameworks such as SQLAlchemy for object-relational mapping and ensure clean, maintainable engineering code.
- Deploy web applications and microservices on AWS using Docker containers or Kubernetes, integrating CI/CD pipelines for efficient delivery.
- Manage Snowflake account hierarchy models, account-role-permissions, and facilitate secure internal data sharing.
- Collaborate with cross-functional teams to ensure timely, high-quality, and cost-effective delivery of assigned projects.
- Leverage Data Build Tool (DBT) and Apache Airflow for data pipeline orchestration, as needed.
Skill Requirements
Must Have:
- 47 years of hands-on experience in data engineering and data science projects, particularly using Snowflake and AI Cloud platforms on AWS.
- Strong proficiency in Python development, including experience with unit testing frameworks.
- In-depth knowledge of Snowflake, including Snowpipe, Snowpark, and AI/Cortex platform features.
- Experience with data modeling, data structures, and object-oriented programming.
- Proficiency in Oracle PL/SQL for data integration and processing.
- Experience with AWS cloud services and deploying serverless/cloud-native applications.
- Familiarity with version control (Git, Bitbucket) and modern development environments (VS Code, Anaconda).
- Understanding of deploying applications using Docker/Kubernetes and implementing CI/CD pipelines.
Good to Have:
- Experience with Apache Airflow and Data Build Tool (DBT) for workflow orchestration and data pipeline management.
- Exposure to large language models (LLMs) and context enrichment techniques.
- Knowledge of Snowflake account hierarchy and role-based access control.
- Prior experience in data sharing strategies within cloud data platforms.
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