Data Engineer - London, United Kingdom - Experis LTD
Description
Role:
Data Engineer
Duration:6th months initially(Extension Expected)
Location:
London (2 TO 4 Days a month need to go onsite)
Rate:
£550 per day inside IR35
RESPONSIBILITIES:
- Create and maintain optimal data pipeline architecture
- Assemble large, complex data sets that meet functional/nonfunctional business requirements
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, redesigning 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 noSQL, APIs and 'big data' cloud technologies.
- Build analytics tools and datasets that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including regional IT and BI teams, other Digital Product platforms and Data & AI teams to build effective integrations and support datarelated technical issues.
- Keep our data separated and secure across regional, business line and client boundaries where required.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
EXPERIENCE AND COMPETENCY REQUIREMENTS:
- 5+ years' experience as Data Engineer or general developer role with similar experience
- Proven experience in developing data pipelines and adhoc data extraction
- Excellent command of SQL and PySpark
- Strong experience developing on cloud architecture, Azure preferred
- Familiarity with databases (e.g. SQL Server, Postgres, MongoDB.
(Optional)
- Demonstrable experience working in a multistage deployment, automated testing, CI/CD, and infrastructure as code environments
- Cultural awareness and appreciation for diversity
- Excellent communication, organisational, and teamwork skills
- Fluent in English is a must
Technology:
ADF, Azure Data Bricks with PySpark & SQL
Secondary (
Good to have): Experience to integrate API based sources using ADB
Database:
SQL Server or Postgres or MongoDB (Preferable SQL Server)
Optional:
Knowledge UI/UX Design and Azure DevOps
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