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.
