Deloitte Consulting – Data Engineer Jobs in Johannesburg South Africa
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
Preferred:
Post Grad Degree in Data Science Engineering or related Degree,
Data related cloud certifications
How to Apply
For more information and job application details, see; Deloitte Consulting – Data Engineer Jobs in Johannesburg South Africa
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