BI And Data Analytics Engineer (SC Cleared)

Recruiter
ARM (Advanced Resource Managers)
Location
United Kingdom
Salary
GBP485 per Day Inside IR35
Posted
10 Jan 2022
Closes
07 Feb 2022
Employer Sector
Technology, ICT & Telecoms
Contract Type
Contract
Hours
Full Time
Travel
None

Current SC Clearance is essential for this role.

As a BI And Data Analytics Engineer, you will support the implementation of projects focused on collecting, aggregating, storing, reconciling, and making data accessible from disparate sources to enable analysis and decision making. This role will also play a critical part in the data supply chain, by ensuring stakeholders can access and manipulate data for routine and ad hoc analysis. Additionally, you will support the full life cycle of data from ingesting through analytics to action.

Responsibilities:

  • Translate business requirements to technical solutions leveraging strong business acumen
  • Analyze current business practices, processes and procedures as well as identifying future business opportunities for leveraging AWS & Analytics PaaS Services
  • Support the planning and implementation of data design services, providing sizing and configuration assistance and performing needs assessments.
  • Deliver of architectures for transformations and modernizations of enterprise data solutions using AWS cloud data technologies.
  • Design and Build Modern Data Pipelines and Data Streams.
  • Design and Build Data Service APIs.
  • Develop and maintain data warehouse schematics, layouts, architectures and relational/non-relational databases for data access and Advanced Analytics.
  • Expose data to end users using PowerBI, Azure API Apps or any other modern visualization platform or experience

Skill & Capability Requirements:

  • Demonstrated experience of turning business use cases and requirements to technical solutions.
  • Experience in business processing mapping of data and analytics solutions.
  • Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows.
  • Experienced in Data Transformation using ETL/ELT tools such as AWS Glue, Azure Data Factory, Talend.
  • Knowledge of Azure Data Factory & Data Bricks.
  • Experienced in Cloud Data-related tool such as Microsoft Azure, Amazon S3
  • Knowledge in Datamodelling and database management such as performance tuning of the Enterprise Data Warehouse, Data Mart, and Business Intelligence Reporting environments, and support the integration of those systems with other applications
  • Knowledge of Python is a plus.
  • Experience preparing data for use in Azure Machine Learning and/or Azure Databricks is a plus.
  • Knowledge of Lambda and Kappa architecture patterns.
  • Knowledge of Master Data Management (MDM) and Data Quality tools and processes
  • Strong team collaboration and experience working with remote teams.

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