Data Engineer – Tech Lead Manager – Ai & Data

Details of the offer

Job Description Main Purpose of Job Working with the Solution Architect to establish new patterns, standards, processes and procedures for client's solution and data community.
Providing technical leadership to teams that specialize in data integration and data warehousing concepts to extract data from disparate sources and transform it as per business requirement and load the required tables that can be consumed downstream.
Effectively communicating solution to both business and technical teams.
Understanding technical landscape that the solution resides in.
Delivery Leadership Providing technical leadership to developers and analysts for various workloads Delivery team management and oversight Define high level solution design options based on client requirements Creation of design standards and patterns reusable in a client's solution Experience in rapid prototyping of potential solutions for design trade-discussions Mentoring and training of Junior members of the team Completing code reviews of team members Accurate breakdown and estimations of tasks for solution Engage with range of technical and non-technical stakeholders on a project to convey progress, solution, issues and risks of workload.
Constant learning and keeping up to date with current technology and data standards Ability to successfully manage complexity and make sense of conflicting information around a client's requirements Engineering Able to define a structured approach to problem solving Completion of data models and designs within client's architecture and standards Understanding complex business environments and requirements and design a solution based on leading practices Ability to document design and solutions for understanding by client product owners Completion of deliverables for gaining architectural approval at client Understanding of DataOps approach to solution architecture.
Solid background in SQL and data is required Ability to pick up and understand new technology is expected.
Technical Demonstrate experience in Database Platforms & Systems  DataBase SAP Hana Teradata SQL Server PostgreSQL (or derivatives)  NoSQL (Hbase, Cassandra or Mongo DB) Cloud Based  Databases(Hive, Cosmos DB, Dynamo DB) Database Development Experience Views, functions, stored procedures Optimisation of queries, building indexes, OLAP / MDX Azure Cloud, Azure Synapse, Azure Data Factory, Azure SQLDB, Delta Lake, Azure Data Lake, PowerBI, Azure Analysis Services Cloud Azure Cloud, Azure Synapse, Azure Data Factory, Azure SQLDB, Delta Lake, Azure Data Lake, PowerBI, Azure Analysis Services Qualifications Bachelor's Degree in Data Science, Engineering or related Degree Post Grad Degree in Data Science Engineering or related Degree, Data related Cloud Certifications Additional Information Behavioural:  Excellent communication skills, both written and verbal  Ability to develop & grow technical teams  Objective oriented with strong client delivery focus  Client focused by building strong trusting relationships with clients  Focus on quality and risk  Sound problem solving ability  Ability to understand and comprehend complex environments and systems.   Inquisitive by nature and keen to figure out how things work  At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day. We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities.
We seek to create and leverage our diverse workforce to build an inclusive environment across the African continent.
Note: The list of tasks / duties and responsibilities contained in this document is not necessarily exhaustive.
 Deloitte may ask the employee to carry out additional duties or responsibilities, which may fall reasonably within the ambit of the role profile, depending on operational requirements.
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Nominal Salary: To be agreed

Requirements

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