AWS Data Engineer â Senior Consultant
AWS Data Engineer â Senior Consultant
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1 Vacancy
Job Description
We are looking for an AWS Data Engineer to join our AI and Data practice who is passionate about data and technology solutions with strong problem-solving and analytical skills tech savvy with a solid understanding of software development driven to learn more keeps up with market evolution and industry trends.
You will have the opportunity to work throughout the entire engagement cycle specializing in modern data solutions including data ingestion/data pipeline frameworks data warehouse & data lake architectures cognitive computing and cloud services.
Technical Requirements for the role:
- Support AI & Data team and implement end-to-end modern data platforms in support of analytics and AI use cases
- Collaborate with enterprise architects data architects other ETL developers & engineers data scientists and information designers to lead identification and definition of required data structures formats pipelines metadata and workload orchestration capabilities
- Address aspects such as data privacy & security data ingestion & processing data storage & compute analytical & operational consumption data modelling data virtualization self-service data preparation & analytics AI enablement and API integrations
- Estimate effort and mentor junior colleagues
- Participate in technical meetings with client staff and advise client with technical option analyses based on leading practices
- Work as a data engineer on AWS but also on other technologies.
- Apply your deep knowledge of technology to drive continuous improvement.
Behavioural Competencies:
- Good communication skills both written and verbal
- Interpersonal and relationship building skills
- Desire to develop self
- Client delivery focus
- Adaptable
- Focus on quality
- Problem solving ability
- Analytical
Qualifications :
Bachelors Degree (or higher) in quantitative areas such as Computer Science Information Management Big Data & Analytics or related field is desired.
One or more of the following AWS certifications is preferred but experience with building solutions on cloud platforms is mandatory:
- AWS Solutions Architect Associate/Professional
- AWS Data Engineer Associate
Experience:
3 years experience in implementation of creative data solutions leveraging the latest in Big Data frameworks supporting on-premise or AWS cloud to enable use cases in analytics and AI
3 years experience with extraction transformation and loading of data from a wide variety of traditional and non-traditional sources such as structured unstructured and semi-structured using SQL NoSQL and data pipelines for real-time streaming batch and on-demand workloads
3 years experience with data warehousing or data lakes.
Ability to simplify complex technical concepts into easy-to-understand non-technical language in order to facilitate communicate and interact with executives and business stakeholders working with Agile development methods in data-oriented projects
Technical Competencies
Must Demonstrate 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 (AWS is preferred)
- 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)
- Modelling: Data Vault Kimball 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
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
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
