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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.