Posted:6 days ago|
Platform:
On-site
Contractual
Our client is a trusted global innovator of IT and business services. They help clients transform through consulting, industry solutions, business process services, digital & IT modernization and managed services. Our client enables them, as well as society, to move confidently into the digital future. We are committed to our clients’ long-term success and combine global reach with local client attention to serve them in over 50 countries around the globe.
Must have skills:- Data Engineer, SQL, DBT, Azure & Databricks
Job Duties: We are seeking an Engineer to join our DBI organization within Data Scientist & Data Engineering team.
Your role
As a Data Engineer, your main responsibilities will involve:
• Strong experience working in projects in DBT.
• The project is a migration of a SAS code to DBT code, so it's important that the candidate has experience in this type of projects.
• Analyze data models and derive logical conclusions.
• Processes modeling.
• Hands on development and monitoring of the Azure cloud Platform and various associated components for data ingestion, transformation and processing.
• Effectively diagnose, isolate, and resolve complex problems pertaining to data infrastructure, including performance tuning and optimization.
• Designs and writes programs according to functional and non-functional requirements.
• Develops and maintains technical documentation.
• Follows established configuration/change control processes.
Minimum Skills Required: As a Big Data Developer / Data Engineer, your skills and experience will ideally include:
• University level education or equivalent
• 2+ years of experience working as a Data Engineer
• Knowledge of design patterns
• Ability to write complex SQL queries
• A good understanding of distributed computation
• DBT
• GIT
• Experience with Azure cloud.
• Experience with Databricks.
Nice to have:
Python
• 1+ Experience in functional programming (preferably Scala - big plus)
• 1+ years of experience in Apache Spark 2.0 (big plus)
• Experience in R programming
• Experience with Hadoop technologies (i.e. Sqoop, Hive, Flume etc.)
• Continuous Integration / Continuous Deployment (Azure DevOps)
• Experience in data exploration using notebooks (Databricks notebooks).
• Experience in automation of regular tasks(e.g. data refreshes) using bash and python scripting."
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