Description

Key Responsibilities:

• Design, develop, and maintain scalable data solutions using Snowflake and Databricks.
• 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, views, and performance-tuned data transformations.
• Implement data models, data quality controls, validation frameworks, and reconciliation processes.
• Collaborate with business analysts, data engineers, architects, and application teams to deliver end-to-end solutions.
• Monitor, troubleshoot, and optimize data pipelines and application performance.
• Support CI/CD deployments, testing, release management, and production support activities.
• Ensure solutions meet security, governance, audit, and regulatory requirements.
• Contribute to cloud modernization initiatives and data platform enhancements.

Required Skills & Qualifications:
Technical Skills:

• Strong experience with Snowflake Data Cloud.
• Hands-on experience with Databricks and Apache Spark.
• 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.
• Experience troubleshooting performance issues across databases and distributed environments.

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.
• Experience with Power BI, Tableau, or other analytics/reporting platforms.
• Understanding of financial services or enterprise data platforms.

Experience:

• 5 years of software/application development experience.
• 3 years of experience with Snowflake and cloud-based data platforms.
• 2 years of hands-on Databricks/Spark development experience.
• Proven track record delivering large-scale data and analytics solutions

Key Skills

Education

Bachelor's degree