Consulting - Data Engineer (Midrand) at Deloitte

Job Description

• Working with and supporting Technical Lead in establish new patterns standards, processes and procedures for client’s 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 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 
• 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 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 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
• Snowflake 

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 

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:

• Bachelor’s Degree in Data Science, Engineering or related Degree