Data Engineer Mastery

• Design, build and maintain complex ELT jobs that deliver business value
• Translate high-level business requirements into technical specs
• Ingest data from disparate sources into the data lake and data warehouse
• Cleanse and enrich data and apply adequate data quality controls
• Provide insight and direction to guide the future development of organizations data platform
• Develop re-usable tools to help streamline the delivery of new projects
• Collaborate closely with other developers and provide mentorship
• Evaluate and recommend tools, technologies, processes and reference architectures
• Work in an Agile development environment, attending daily stand-up meetings and delivering incremental improvements

Basic Qualifications

• years of experience with data analytics and warehousing in Investment & Finance Domain
• SQL: Deep knowledge of SQL and query optimization
• ELT: Good understanding of ELT methodologies and tools
• Troubleshooting: Experience with troubleshooting and root cause analysis to determine and remediate potential issues
• Communication: Excellent communication, problem solving and organizational and analytical skills
• Able to work independently and to provide leadership to small teams of developers
• years of coding and scripting (Python, Java, Scala) and design experience.
• years of experience with Spark framework.
• Experience with Vertica or any Columnar Databases.
• Strong data integrity, analytical and multitasking skills.Role & responsibilities