Description

You will build and maintain data infrastructure to support core business functions.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Snowflake, Pyspark, and SQL.
• Write optimized SQL queries for data extraction, transformation, and loading.
• Develop data models and schemas aligning with banking domain requirements.
• Automate data workflows while ensuring data quality, accuracy, and integrity.
• Manage and coordinate release processes for data pipelines and analytics solutions.

Required Skills

• Proven experience as a Data Engineer focusing on Snowflake, Python, Pyspark, and SQL.
• Strong understanding of ETL/ELT processes and data warehousing concepts.
• Hands-on experience with release management, deployment, and version control.
• Proficiency in Python scripting and Pyspark for data processing.
• Solid understanding of banking and financial services industry data and compliance.
• Knowledge of Data Governance, security, and privacy standards.
• Familiarity with CI/CD Pipelines.
• Experience with SQL.

Preferred Skills

• Good knowledge in Azure and Databricks.
• Knowledge of Apache Kafka or other streaming technologies.

Key Skills

Education

Not specified