Design and implement relational and NoSQL data models, build and optimize SQL-based ETL, develop Snowflake data pipelines, create Python data processing scripts, use AWS for cloud data infrastructure, and collaborate with data scientists and engineers to ensure data accuracy and insights.
Job Summary:
We are seeking a skilled Data Engineer with expertise in Data Modeling, SQL, Snowflake, Python, AWS, and NoSQL. The ideal candidate will be responsible for designing and implementing scalable data solutions, ensuring efficient data storage, retrieval, and processing. Experience in NoSQL Data Modeling is a plus.
Key Responsibilities:- Design and implement data models to support analytical and operational workloads.
- Develop, optimize, and manage SQL queries for data extraction, transformation, and loading (ETL).
- Work extensively with Snowflake to build scalable data pipelines and warehouses.
- Develop and maintain Python scripts for data processing and automation.
- Implement AWS services for cloud-based data solutions.
- Work with NoSQL databases to handle semi-structured and unstructured data.
- Ensure data accuracy, consistency, and security across various storage systems.
- Collaborate with data scientists, analysts, and software engineers to deliver business insights.
- Strong experience in Data Modeling (Relational & NoSQL).
- Proficiency in SQL and experience with database technologies.
- Hands-on experience with Snowflake for data warehousing.
- Strong programming skills in Python for data processing.
- Expertise in AWS cloud services for data infrastructure.
- Experience working with NoSQL databases.
- Experience in NoSQL Data Modeling best practices.
Location: Bangalore
Experience: 6-9 Years
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