Databricks Developer

• Design, develop, and maintain scalable data pipelines and ELT/ETL workflows using Databricks and Apache Spark (PySpark/Spark SQL)
• Build and optimize modern lakehouse architectures using Delta Lake and related data formats (e.g., Parquet, Iceberg)
• Develop production-grade data workflows using Databricks Workflows and/or declarative pipeline frameworks
• Implement data governance, security, and access controls using Unity Catalog and related enterprise frameworks
• Support data migration and modernization initiatives
  , transitioning legacy data warehouse systems to cloud-based platforms
• Apply medallion architecture principles (bronze, silver, gold layers) in scalable solution design
• Implement CI/CD pipelines and infrastructure-as-code for Databricks environments (e.g., Terraform, Databricks Asset Bundles, Git Hub Actions)
• Monitor, troubleshoot, and resolve production data pipeline issues to ensure system reliability and performance
• Collaborate with technical and business stakeholders to gather requirements and translate them into scalable data solutions
• Participate in code reviews, testing, documentation, and deployment activities
• Contribute to the continuous improvement of data engineering standards, tools, and best practices
• Provide technical support during solution implementation and stabilization phases
• Perform other duties as required

• Bachelor’s degree in Engineering, Information Technology, Computer Science, or a related field (or equivalent experience)
• 5+ years of data engineering experience
  , with at least 4+ years focused on Databricks
• Strong proficiency in Apache Spark (PySpark and/or Spark SQL) and advanced SQL
• Experience designing and implementing solutions on AWS, Azure, or GCP
• Proven experience in cloud modernization, data migration, and data warehousing initiatives
• Strong understanding of data security, messaging patterns, ELT processes, and data integration architectures
• Hands-on experience with cloud computing, database technologies, and data processing frameworks
• Ability to prioritize tasks, manage multiple responsibilities, and contribute to high-performing, collaborative teams
• Excellent verbal and written communication skills, with the ability to engage effectively across technical and business audiences
• Highly analytical, detail-oriented, and self-motivated, with a strong sense of ownership and urgency
• Demonstrated ability to quickly learn and apply new technologies to support enterprise data solutions

• Experience facilitating technical workshops with both technical and business stakeholders to drive solution alignment and value delivery
• Familiarity with advanced analytics tools, programming languages, and data visualization platforms
• Experience with data integration / EAI frameworks

• Databricks certification
• Experience in business analytics design and development
  , including exposure to best-in-class platforms and tools
• Working knowledge of business processes and enterprise systems
• Strong skills in change management, communication, and business process improvement

Data Engineering,Databricks,Apache Spark