Application Developer

You will design, develop, and maintain scalable data solutions using Snowflake and Databricks. You own the full lifecycle from building ETL/ELT pipelines to optimizing Python applications and APIs.

This role is on-site.

Responsibilities

• Build and optimize ETL/ELT pipelines for structured and unstructured data processing.
• Develop high-quality Python applications, automation scripts, APIs, and data integration services.
• Write complex SQL queries, stored procedures, and performance-tuned data transformations.
• Implement data models, data quality controls, validation frameworks, and reconciliation processes.
• Monitor, troubleshoot, and optimize data pipelines and application performance.

Required Skills

• 5+ years of software/application development experience.
• Strong experience with Snowflake Data Cloud.
• Hands-on experience with Databricks and Apache Spark (3+ years).
• Advanced Python programming skills (Pandas, PySpark, NumPy, REST APIs).
• Expert-level SQL development and query optimization.
• Experience building ETL/ELT solutions and data pipelines.
• Good understanding of data warehousing, dimensional modeling, and data lake architecture.
• Experience with cloud platforms such as Azure, AWS, or GCP.
• Knowledge of Git, CI/CD pipelines, and Agile development practices.

Preferred Skills

• Experience with Snowpark, Cortex AI, or Databricks AI capabilities.
• Knowledge of orchestration tools such as Airflow or Azure Data Factory.
• Familiarity with Kafka, streaming data, or event-driven architectures.