Noida, Uttar Pradesh, India
Information Technology
Full-Time
USEReady
Overview
Job Title: Sr Data Engineer – Snowflake & Python
About The Role
We are seeking a skilled and proactive Sr Data Developer with 5-8 years of hands-on experience in Snowflake, Python, Streamlit, and SQL, along with expertise in consuming REST APIs and working with modern ETL tools like Dbt, Matillion, Fivetran etc. The ideal candidate will have a strong foundation in data modeling, data warehousing, and data profiling, and will play a key role in designing and implementing robust data solutions that drive business insights and innovation.
Key Responsibilities
About The Role
We are seeking a skilled and proactive Sr Data Developer with 5-8 years of hands-on experience in Snowflake, Python, Streamlit, and SQL, along with expertise in consuming REST APIs and working with modern ETL tools like Dbt, Matillion, Fivetran etc. The ideal candidate will have a strong foundation in data modeling, data warehousing, and data profiling, and will play a key role in designing and implementing robust data solutions that drive business insights and innovation.
Key Responsibilities
- Design, develop, and maintain data pipelines and workflows using Snowflake and an ETL tool (e.g., DBT, Matillion, Fivetran, or similar).
- Develop data applications and dashboards using Python and Streamlit.
- Create and optimize complex SQL queries for data extraction, transformation, and loading.
- Integrate REST APIs for data access and process automation.
- Perform data profiling, quality checks, and troubleshooting to ensure data accuracy and integrity.
- Design and implement scalable and efficient data models aligned with business requirements.
- Collaborate with data analysts, data scientists, and business stakeholders to understand data needs and deliver actionable solutions.
- Implement best practices in data governance, security, and compliance.
- 5–8 years of professional experience in a data engineering or development role.
- Strong expertise in Snowflake, including performance tuning and warehouse optimization.
- Proficient in Python, including data manipulation with libraries like Pandas.
- Experience building web-based data tools using Streamlit.
- Solid understanding and experience with RESTful APIs and JSON data structures.
- Strong SQL skills and experience with advanced data transformation logic.
- Experience with an ETL tool commonly used with Snowflake (e.g., dbt, Matillion, Fivetran, Airflow).
- Hands-on experience in data modeling (dimensional and normalized), data warehousing concepts, and data profiling techniques.
- Familiarity with version control (e.g., Git) and CI/CD processes is a plus.
- Experience working in cloud environments (AWS, Azure, or GCP).
- Knowledge of data governance and cataloging tools.
- Experience with agile methodologies and working in cross-functional teams.
- Experience in Azure Data Factory
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