Cloud & AWS - Data Engineer - Consultant
Cloud & AWS - Data Engineer - Consultant
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1 Vacancy
Job Description
We are looking for a Data Engineering Consultant to make an impact in our team and at the clients. This role will support the Engagement team in delivery of services to clients on engagements and projects.
Main Purpose of the Job:
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.
Data Engineering Competencies:
- Able to define a structured approach to problem solving
- Completion of data models and designs within clients architecture and standards
- Build robust data pipelines and ETLs using integration tools and services
- Understanding complex business environments and requirements and design a solution based on leading practices
- Ability to document design and implement solutions for 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
- Solid data modelling experience
Technical Competencies:
Must have experience in one or more services and technologies listed below:
- Database: SQL Server NoSQL (Hbase Cassandra or Mongo DB) Cloud Based Databases (Hive Cosmos DB Dynamo DB) Redshift/Redshift Spectrum AWS RDS
- Database Development: Experience Views functions stored procedures Optimisation of queries building indexes OLAP / MDX
- Cloud: AWS / Azure / GCP /Snowflake
- ETL: AWS Glue Athena SSIS IBM DataStage / SAP Data Services AWS DMS Appflow Programming SQL (TSQL /HQL etc) Python Spark 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)
- Data Acquisition: Pipeline creation Automation and data delivery Once off CDC Streaming
Behavioural Competencies:
- 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
- Continuous learning mindset
Qualifications :
Minimum Qualifications
Bachelors Degree in Data Science Engineering BSc Computer Science or related Degree
Desired Qualifications
Post Graduate Honours Degree in Data Science Engineering or related Degree
Data and technology related cloud certifications
Minimum Experience
1 - 3 years working experience in data engineering with client-facing exposure
Experience with AWS is preferred
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.
Be careful of Recruitment Scams: Fraudsters or employment scammers often pose as legitimate recruiters employers recruitment consultants or job placement firms advertising false job opportunities through email text messages and WhatsApp messages. They aim to cheat jobseekers out of money or to steal personal information.
To help you look out for potential recruitment scams here are some Red Flags:
- Upfront Payment Requests: Deloitte will never ask for any upfront payment for background checks job training or supplies.
- Requests for Personal Information: Be wary if you are asked for sensitive personal information especially early in the recruitment process and without a clear need for it. Fraudulent links or contractual documents may require the provision of sensitive personal data or copy documents (e.g. government issued numbers or identity documents passports or passport numbers bank account statements or numbers parents data) that may be used for identity fraud. Do not provide or send any of these documents or data. Please note we will never ask for photographs at any stage of the recruitment process.
- Unprofessional Communication: Scammers may communicate in an unprofessional manner. Their messages may be filled with poor grammar and spelling errors. The look and feel may not be consistent with the Deloitte corporate brand.
If youre unsure make direct contact with Deloitte using our official contact details. Be careful not to use any contact details provided in the suspicious job advertisement or email.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
