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Senior Specialist - Data Engineering

Job Req Id:  1272812
"Your key responsibilities

• Support the development and maintenance of accurate reports to be shared with senior executives and leadership team

• Interact with Global and local stakeholders, understand their needs to service them effectively

• Facilitate efficient and error-free reporting – using Power BI

• Identify and drive resolution of gaps in data reporting

• Identify and implement reporting process improvements

• Designing, developing and maintaining business intelligence solutions (e.g. reporting tools)

• Crafting and executing queries upon request for data

• Presenting information through reports and visualization

• Translate business needs to technical specifications

• Maintain and support data analytics platforms (e.g. MicroStrategy)

• Conduct unit testing and troubleshooting

• Understand of the latest Data Modelling techniques and tools

• Evaluate and improve existing BI systems

• Collaborate with teams to integrate systems

• Develop and execute database queries and conduct analysis

• Create visualizations and reports for specific projects

• Develop and update technical documentation

• Maintaining the integrity of the information in the reports being produced and other relevant applications

• Understand the agreed SLAs and deliver reports

Skills and attributes for success

• Proactively identify and address reporting challenges

• Effectively prioritize the workload

• Anticipate possible reporting issues before they occur, identify possible solutions and work with team to implement

• Make decisions based upon solid understanding of EY Technology principles, Firm and business objectives and stakeholder needs

• Must be able to handle multiple tasks and priorities

• Good stakeholder management

• Attention to details

• Ensure high quality of deliverables

• Flexible. Able to manage multiple demands efficiently and effectively

To qualify for the role you must have

• Hands on experience in working on SQL

• Experience in programming languages such as Python

• Hands on experience in working on Microsoft Azure Data Factory and Azure Data Bricks

• Experience in PySpark and Airflow

• Experience implementing complex ETL and data extraction projects from scratch - Thorough knowledge of data security, privacy and compliance regulations

• Experience managing and designing large, complex data sets and data schema

• Experience in developing data models

• Familiarity with data security, privacy and compliance regulations

• Experience in building data structures based on data models

• Very Good communication and interpersonal skills

• Ability to recognize cultural differences and be part of virtually diverse teams

• Good understanding of SCRUM or Agile based delivery methodology

Ideally, you’ll also have

• A minimum of 5-7 years relevant work experience in professional data-oriented role is preferred but not mandatory, including:

• Hands-on experience of data modelling projects, including the maintenance of legacy production data models

• Experience processing external data sources and structed data formats

• Demonstrated experience in business analysis and intelligence roles (with clear understanding of the use and application of data within business processes)

• Experience of having been engaged within a multi-cultural, multi-disciplined, globally dispersed team

What we look for

• A self-starter, independent-thinker, curious and creative person with ambition and passion"

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