Azure Data Engineer - UBS

Infinity Quest

2 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Compensation

£50,706.0

Working hours

Regular working hours

Languages

English

Job source

www.adzuna.co.uk

Tech stack

Agile Methodology Airflow Data Analysis Apache HTTP Server Automation of Tests CA Workload Automation Ae Microsoft Azure Big Data Cloud Computing Computer Programming Continuous Integration Information Engineering

+37 more

Extract Transform Load (ETL) Data Systems Data Warehousing Linux DevOps Github Python (Programming Language) PostgreSQL SQL Azure Windows PowerShell Scrum Methodology Standard Sql Azure Data Lake Service-Oriented Architecture Software Engineering SQL Server Integration Services Data Streaming Talend YAML Scripting Test-Driven Development (TDD) Azure Data Factory Delivery Pipeline Apache Spark Gitlab Git Data Lakes Data Analytics Extreme Programming Apache Kafka Puppet Terraform Data Pipelines Docker Databricks Programming Languages Control M

Job description

Design, develop, and improve the digital products and technology services we provide to our clients and employees.

apply a broad range of software engineering practices, from analyzing user needs and developing new features to automated testing and deployment.

ensure the quality, security, reliability, and compliance of our solutions by applying our digital principles and implementing both functional and non-functional requirements.

build observability into our solutions to monitor production health, help to resolve incidents, and remediate the root cause of risks and issues.

continuously up-skill, learn new technologies and practices, reuse strategic platforms and standards, evaluate options, and make decisions with long-term sustainability in mind.

Requirements

8-10 years of hands-on experience in data engineering space, with ability to translate working solution into implementable working package and/or built new solution using Azure platform
high proficiency and experience in designing/developing data analytics and data warehouse solutions with Azure Data Factory (ADF) and Azure Databricks, services related to Azure Analytics, Azure data lake storage Gen2, Azure SQL/Postgres, Azure analytics services and good understanding of Azure identity (SPN, SAMI, UAMI etc.)
experience in designing large data distribution, integration with service-oriented architecture, data mesh, data Lake and data analytics solution using Azure data services with large and multi-format data
proficient coding experience using Spark (Python/Scala) and SQL
hands on experience with one of scripting language: Linux / PowerShell.
prior ETL development experience using industry tool e.g. informatica/SSIS/Talend etc., good to have knowledge in Kafka streaming Azure Infrastructure
a proven track of work experience in cloud (MS Azure platform preferred) in an agile SDLC environment, leveraging modern programming languages, DevOps, and test-driven development
Exposure to Docker, Git
hands on experience with pipeline orchestration tools like Apache Airflow, Autosys, Control-M Preferred Apache Ariflow
proficient at working with large and complex code bases using GitLab/Github, Fork/Pull Model and CI/CD
knowledge of DevOps tools and technologies (like GitLab CI/CD pipeline creation, YAML, Terraform, ARM, Puppet), Azure function app, logic app is a plus
working experience in Agile methodologies (SCRUM, XP, Kanban). Work within an agile SDLC environment to deliver high-quality data solutions
you should hold a relevant bachelor’s degree or equivalent. Excellent communication skills, with fluency in English for both presentations and technical writing