Line of Service
Advisory
Industry/Sector
Technology
Specialism
Advisory - Other
Management Level
Senior Associate
Job Description & Summary
A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
In your role as an Azure Data Engineer, you will be responsible for expanding and optimizing data and pipeline architectures, and for optimizing data collection and flow across functional teams. Your responsibilities include assisting software developers, database architects, data analysts, and data scientists with data initiatives and ensuring a consistent data delivery architecture is put in place throughout ongoing projects.
- You’ll have 4+ years of hands-on experience of data analytics solutions on cloud platforms with a minimum of 2 years using Azure Stack on Data analytics
- Assure that data is cleansed, mapped, transformed, and otherwise optimized for storage and use according to business and technical requirements
- Develop and maintain innovative Azure solutions
- Solution design using Microsoft Azure services and other tools
- The ability to automate tasks and deploy production standard code (with unit testing, continuous integration, versioning etc.)
- Load transformed data into storage and reporting structures in destinations including data warehouse, high speed indexes, real-time reporting systems and analytics applications
- Build data pipelines to collectively bring together data
- Other responsibilities include extracting data, troubleshooting and maintaining the data warehouse
- Gather requirements from stakeholders and translate them into technical specifications.
- Modern data lakes and data warehouse solutions.
Experience in adapting your communication style to help translate complex technical information to audiences unfamiliar with the technologies
Technical Skills
- Foundational understanding of Data & Analytics Architectures, definition of KPIs / metrics and insight requirements
- Experience with Azure: ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates
- Programming languages: Python
- Data warehouse technologies: Synapse/Snowflake
- Data lake technologies: Hadoop, Apache Beam, Spark, and Hive
- Orchestration: Airflow/Control-M/(Any Orchestration tool)
- Machine learning frameworks: TensorFlow, PyTorch, and scikit-learn
- Practical knowledge of core data modeling, manipulation and visualization skills- for example using tools such as Excel, Alteryx, PowerBI/Tableau/Qlik
Project Skills
- Experience in shaping and planning projects through either Waterfall or Agile methodologies
- Experience using Agile project management tools (DevOps, Trello, JIRA, Kanbanchi etc)
Supporting the design and delivery of data transformation projects with clients. This will include:
- Translating business requirements into technical specifications, helping to understand and create solutions to our clients’ key challenges
- Participating in end-to-end planning, coordination and oversight of the project lifecycle including resourcing, scoping, architecting and delivery
- Developing client relationships including with C-level staff, Heads of Data and Analytics, IT and Data Architects and other business stakeholders during the lifecycle of a project
- Collaborating with our wider D&A teams across the firm, whether that be locally or working with our alternative delivery teams (onshore and offshore)
- Taking an active role in coaching and developing skills for more junior team members
- Man interface with client relationships including with C-level staff, Heads of Data and Analytics, IT and Data Architects and other business stakeholders during the lifecycle of a project.
Education (if blank, degree and/or field of study not specified)
Degrees/Field Of Study Required
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date
