Data Engineer with expertise in Databricks, Snowflake, Python, Pyspark, SQL

Data Engineer

We are seeking a skilled Data Engineer with expertise in Databricks, Snowflake, Python, Pyspark, SQL, and Release Management to join our dynamic team. The ideal candidate will have a strong background in the banking domain and will be responsible for designing, developing, and maintaining robust data pipelines and systems to support our banking operations and analytics.

Key Responsibilities:

• Design, develop, and maintain scalable and efficient data pipelines using Snowflake, Pyspark, and SQL.
• Write optimized and complex SQL queries to extract, transform, and load data.
• Develop and implement data models, schemas, and architecture that support banking domain requirements.
• Collaborate with data analysts, data scientists, and business stakeholders to gather data requirements.
• Automate data workflows and ensure data quality, accuracy, and integrity.
• Manage and coordinate release processes for data pipelines and analytics solutions.
• Monitor, troubleshoot, and optimize the performance of data systems.
• Ensure compliance with data governance, security, and privacy standards within the banking domain.
• Maintain documentation of data architecture, pipelines, and processes.
• Stay updated with the latest industry trends and incorporate best practices.

Required Skills and Experience:

• Proven experience as a Data Engineer or in a similar role with a focus on Snowflake, Python, Pyspark, and SQL.
• Strong understanding of data warehousing concepts and cloud data platforms, especially Snowflake.
• Hands-on experience with release management, deployment, and version control practices.
• Solid understanding of banking and financial services industry data and compliance requirements.
• Proficiency in Python scripting and Pyspark for data processing and automation.
• Experience with ETL/ELT processes and tools.
• Knowledge of data governance, security, and privacy standards.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.

Preferred Qualifications:

• Good Knowledge in Azure and Databricks in highly preferred.
• Knowledge of Apache Kafka or other streaming technologies.
• Familiarity with DevOps practices and CI/CD pipelines.
• Prior experience working in the banking or financial services industry.