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Python Developer
2 weeks ago
- Bachelor's Degree
- Onsite Remote
- 5-10 years
- Remote
- Openings : 2
Key Responsibilities:
- Design, develop, and maintain applications, APIs, and services that consume and process data from Databricks and Snowflake.
- Implement ETL/ELT pipelines integrating Databricks and Snowflake with external systems and applications.
- Develop scalable, secure, and high-performing data solutions for analytics and business use cases.
- Collaborate with data engineering teams to optimize data storage, retrieval, and transformation workflows.
- Write and maintain optimized SQL queries for Snowflake and PySpark/Spark jobs for Databricks.
- Ensure data security, governance, and compliance in application design.
- Integrate with cloud services (AWS, Azure, or GCP) for data ingestion, processing, and delivery.
- Troubleshoot and optimize application performance and reliability.
- Work in Agile/Scrum teams, participating in sprint planning, reviews, and retrospectives.
- 5+ years of experience in data application development.
- Hands-on experience with Databricks (PySpark, Delta Lake, MLflow optional).
- Proficient in Snowflake — SnowSQL, Snowpark (optional), query optimization.
- Strong skills in Python and/or Java/Scala for backend development.
- Experience developing RESTful APIs and integrating them with data platforms.
- Solid understanding of ETL/ELT frameworks and data pipeline orchestration (Airflow, dbt, or similar).
- Strong experience with SQL performance tuning and query optimization.
- Familiarity with CI/CD pipelines and DevOps practices for data applications.
- Knowledge of cloud environments (AWS, Azure, or GCP) and their data services.
- Good understanding of data security, governance, and compliance principles.
Test-Driven Development, Python, Django, Flask, SQL, RESTful APIs, Git, Docker, AWS, Object-Oriented Programming