Collaborate with engineers and business customers to understand data needs, capture requirements and can Analyse and organize raw data
Able to Conduct data analysis, create data models Design and implement data pipelines using SQL, Airflow and DBT.
Can Develop pipelines and after deployment perform pipeline validations and monitoring.
On-call support. Flexibly react to OpsGenie alerts, find root cause of an issue, determine the most appropriate course of action and proceed with implementation.
Own all documentation including all work being done and end users instructions
Skills Required
AWS/Glue - intermediate to advanced.
Job Orchestration AWS Step Functions.
Python/Pyspark - basic ability to implement a simple algorithm.
Snowflake Snow SQL- understanding concepts, hands-on implementation of pipelines.
Cloud computing - Understanding concepts, hands-on experience with at least one major provider CI/CD - basic concepts, hands-on experience working/implementing automation.
Data formats - familiarity with JSON and YAML
Nice to Have
Analytical skills - ability to analyze a problem, come up with an approach to solve the problem, discuss potential trade-offs in using different approaches.
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full time