Description
Data Engineer
Global Energy Organisation, London
6 Month contract
Rates: Negotiable
Job Overview
We are looking for a savvy Data Engineer to join our clients growing team of analytics experts. The hire will be responsible for expanding and optimizing their data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.
The Data Engineer will support our clients software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
Responsibilities:
. Create and maintain optimal data pipeline architecture.
. Assemble large, complex data sets that meet functional/non-functional business requirements.
. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure, AWS 'big data' technologies.
. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
. Keep our data separated and secure across national boundaries through multiple data centers and Azure, AWS regions.
. We are looking for a candidate with 6+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
They should also have experience using the following software/tools:
. 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.
. 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
Interested?
Please reply with your updated CV and we will be in touch shortly to discuss the next steps - Ref 840136