Data Engineer – Snowflake & Python

Job Description

Job Title: Data Engineer – Snowflake & Python About the Role: We are seeking a skilled and proactive Data Developer with 3-5 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 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., Matillion, dbt, 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. Required Skills and Qualifications: 3–5 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. Preferred Qualifications: 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.