Data Engineer â AWS

Working with and supporting Technical Lead in establish 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 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
• 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

ETL:

• SSIS
• IBM DataStage
• SAP Data Services
• Informatica or similar

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

Qualifications :

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

Experience:

3 - 5 years working experience with client facing experience

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 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 :

Full-time