Lead Big Data Integration Engineer, Gildersome

Lead Big Data Integration Engineer

30 Days Old

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Job Purpose

To support the development of data as an asset and though the implementation and development of data design methodologies, optimisation, configurations and planning.

Data Warehouse Engineer

Job Purpose

To support the development of data as an asset and though the implementation and development of data design methodologies, optimisation, configurations and planning.

As a Data Warehouse Engineer, you will be responsible for aspects of data management including :-

Supporting the Data Warehousing platform
Developing data structures (views/Interfaces) based on business requirements
Supporting users to ensure that they implementing the right data for their solution
Maintenance and Documentation of processes and Data structures
Improving performance and Cost Optimisation

Essential

KNOWLEDGE, SKILLS, QUALIFICATIONS AND EXPERIENCE REQUIRED

Several years’ experience of SQL/database design and data modelling to develop data solutions including Database design
Experienced in the design and implementation of Azure Synapse Data Warehouse in a commercial environment
Required to develop data assets in line with the requirements of and in partnership with Data Analytics, Data Science and Business Intelligence (BI) teams and in partnership with the ETL Team.
Organizational skills including taking ownership of your work schedule and assist with planning and prioritisation of jobs aligning all requirements with objectives of a business
Supports effective business analysis through analytical thinking, problem-solving and communication skills
Use data management tools to map business processes to define and develop the metadata model.
Excellent problem solving skills and attention to detail
Experience in fault diagnosis and resolution of data issues
Strong numerical and analytical skills
Strong communication and presentation skills
Good documentation skills and the ability to review documentation written by others
Understanding and / or a willingness to learn about of the principles of Data Governance and GDPR in order that they are incorporated into designs and specifications.

Desirable

Degree or similar qualification in IT or other scientific discipline
Knowledge of Informatica IICS / Synapse tooling as a solution
Lead and support the development and implementation of best practice and standards
Work with teams to optimise data processes and formatting for optimised availability for Power BI users
Work with wider BI and data warehouse teams to provide insight into security standards etc
Able to get hands on in the delivery of data pipelines of required
Knowledge of BI Tooling

KEY RESULT AREAS

Develop data into asset rather than information with properties like assigned data type, developed relationships to sources
Design and build scalable, reliable and high-performance data-driven solutions
Prepare documentation for database solutions.
Responsible for practical, hands-on delivery of architecture and creating high quality data solutions
Design, build and implement high performance data solutions while adhering to company policies and industry accepted best practices.
Maintain and improve knowledge and expertise to effectively perform development activities.
Define, collect, and measure success or failure of product and feature developments through relevant metrics and KPIs
You will engage and work with business data governance forums and decision bodies to support data owners and stewards to define, agree, and communicate business data standards.
Report regularly on the current progress of projects and concerns
Attend any training as agreed
Keep abreast of latest and emerging development methodologies and technologies.
Document applications so that other team members can support them.
Deliver solutions in line with Change Management Processes
Provide software support to business users and colleagues as required
Perform proactive monitoring of supported systems in order to identify any potential issues and minimise any potential disruption to the business
Facilitate the transfer of knowledge throughout the team

Seniority level

Seniority level
Mid-Senior level

Employment type

Employment type
Full-time

Job function

Job function
Engineering and Information Technology
Industries
Wholesale Building Materials

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