This Job Vacancy has Expired!

Azure Engineer - Azure Data Factory/Python/API

Posted on Sep 16, 2020 by Next Ventures Ltd

London, United Kingdom
12 Nov 2020
Annual Salary

Our client, based in London is urgently looking for an Azure Engineer. This contract will be initially 6 month and delivered 100 % remotely.

Experience required:

  • Minimum 3 years experience with Microsoft Azure
  • Hands on experience working with Azure Data Factory, Integration and building a pipeline.
  • Good Knowledge of API
  • Development skills - Python.

Further information:

Experience with Azure: ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates

Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.

Experience with object-oriented/object function Scripting languages: Python, SQL, Scala, Spark-SQL etc.

Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

Experience building and optimizing big data' data pipelines, architectures and data sets.

Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

Strong analytic skills related to working with unstructured datasets.

Build processes supporting data transformation, data structures, metadata, dependency and workload management.

A successful history of manipulating, processing and extracting value from large disconnected datasets.

Working knowledge of message queuing, stream processing, and highly scalable big data' data stores.

Strong project management and organizational skills.

Experience supporting and working with cross-functional teams in a dynamic environment.

Nice to have experience with big data tools: Hadoop, Spark, Kafka, etc.

Nice to have experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

Nice to have experience with stream-processing systems: Storm

Reference: 949597360

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