Technology Analyst (Databricks Certified Data Engineer)
Core
Build and manage data engineering solutions, data warehouses, and data operations for banking clients using cloud technologies.
Role type
Senior Data Engineer (Databricks Certified)
Builds
Data and Data Warehouse solutions, data pipelines, and operational data systems
Domain
Banking / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis | infrastructure
Required skills
SQL Development, PL/SQL, Unix Shell scripting, Data Engineering (Spark, Hadoop, Kafka), Data Warehousing (OLTP/OLAP/DSS), Python, Scala, Java, AWS fundamentals, Git, Jenkins, Control-M Scheduling, Testing, Infrastructure as Code (Ansible, Terraform, CloudFormation, Docker, ECS, Kubernetes, Packer)
Preferred skills
Databricks Certified Data Engineer Associate, Banking Domain experience, Experience in large Enterprise data operations
Technologies
Databricks, Spark, Hadoop, Kafka, AWS, Ansible, Terraform, CloudFormation, Docker, ECS, Kubernetes, Packer, Git, Jenkins, Control-M
Responsibilities
Develop data systems and data warehouse solutions, perform data analysis and SQL script analysis, write code in Python/Scala/Java, manage data operations and testing, deploy and manage cloud infrastructure
Seniority
Senior, hands-on IC
