Data Engineer - AI and Data
Data Engineer - AI and Data
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Salary Not Disclosed
1 Vacancy
Job Description
Working with and supporting the Technical Lead in establishing new patterns standards processes and procedures for clients solution and data community.
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.
Helping design and build solutions communicating to both technical and business teams at a client and covey solutions to business requirements.
Delivery Leadership:
Define high level solution design options based on client requirements
Creation of design standards and patterns reusable in a clients solution
Experience in rapid prototyping of potential solutions for design tradediscussions
Mentoring and training of Junior members of the team
Completing code reviews of team members
Accurate breakdown and estimations of tasks for solution
Ability to pick up and learn new technology quickly
Engineering:
Able to define a structured approach to problem solving
Completion of data models and designs within clients 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 experience in data and SQL is required
Technical:
Demonstrate experience in database and database development. Experience in other areas is a bonus.
DataBase:
- SAP Hana
- Teradata
- SQL Server
- 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
Cloud:
- AWS
- Azure
- GCP
ETL:
- SSIS
- IBM DataStage
- SAP Data Services
- Informatica or similar
- Redshift
- Glue
- Sagemaker
Programming:
- SQL (TSQL /HQL etc)
- Java
- Python
- Spark / Kafka / RabbitMQ
- UNIX & Shell Commands (Python / shell / Perl) is a plus
Modelling:
- Data Vault (pref)
- Kimball (Pref)
- 3rd Normal Form / OLAP / MDX)
- Big Data
- Hadoop Platform (Cloudera / cloud equivalent)
- HiveQL /Spark / Ooozie / Impala / Pig)
- Optimising Big Data
- Streaming (NiFi / Kafka)
- Methodologies:
- Agile
- PMBOK
- DataOps / DevOps
Data Acquisition:
- Pipeline creation Automation and data delivery
- Once off CDC Streaming
Behavioral:
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
Qualifications :
3 5 years working experience with client facing experience
Minimum:
Bachelors Degree in Data Science Engineering or related Degree
Preferred:
Post Grad Degree in Data Science Engineering or related Degree
Data related cloud certifications
Additional Information :
At Deloitte we want everyone to feel they can be themselves and to thrive at workin 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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Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
