Data Engineer (Databricks | Python | PySpark | SQL)

Role: Data Engineer (Databricks | Python | PySpark | SQL)

We are looking for an experienced Data Engineer with strong expertise in Databricks, Python, PySpark, and SQL to join our growing data engineering team. The ideal candidate will have hands-on experience building scalable data pipelines, optimizing large-scale data processing solutions, and working within banking or financial services environments

.Key Responsibilitie

• sDesign, develop, and maintain scalable data pipelines and data integration solutions using Databricks, Python, PySpark, and SQL
• .Develop efficient ETL/ELT processes for large-scale data transformation and analytics
• .Write complex and optimized SQL queries for data extraction, transformation, and reporting
• .Build and maintain data models, schemas, and architectures that support business and regulatory requirements
• .Collaborate with business stakeholders, data analysts, and data scientists to gather and translate data requirements into technical solutions
• .Ensure data quality, integrity, governance, and compliance across all data platforms
• .Support release management activities, deployments, and production support for data solutions
• .Monitor, troubleshoot, and optimize data processing jobs and platform performance
• .Maintain technical documentation for data pipelines, workflows, and architecture

.Required Qualification

• s5+ years of experience as a Data Engineer or in a similar role
• .Strong hands-on experience with Databricks, Python, PySpark, and SQL
• .Experience with Snowflake and modern cloud-based data platforms
• .Solid understanding of data warehousing concepts, data modeling, and ETL/ELT frameworks
• .Experience with release management, deployment processes, and version control systems
• .Knowledge of data governance, security, privacy, and compliance standards
• .Strong analytical, problem-solving, and communication skills
• .Prior experience within the Banking or Financial Services domain

.Preferred Qualification

• sExperience with Azure Data Platform and Azure Databricks
• .Knowledge of Apache Kafka or other real-time streaming technologies
• .Familiarity with DevOps practices, CI/CD pipelines, and automation frameworks
• .Experience supporting enterprise-scale data modernization initiatives

.