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We’re hiring Data Engineers & Architects
· Design, build and maintain data processing ETL
pipelines & data products in a multi -cloud, multi -region, distributed
processing context choosing the right technologies.
· Drive data investigations to deliver a
resolution of technical, procedural, and operational issues.
· Solve complex business problems by utilizing
disciplined development methodology, producing scalable, flexible, efficient
and supportable solutions using appropriate technologies.
Skills:
· Data engineering patterns: Sound knowledge of
the different data engineering patterns to determine what to use and when
· Data architecture: Understanding of data
architecture and frameworks like Data mesh, data fabric etc.
· Big Data Technologies: Proficiency in big data
technologies such as data lake, EMR, Glue for analysing large datasets.
Knowledge on CLoudera will be an added advantage.
· Programming Languages: Proficiency in
programming language Python
· Data Warehousing: Strong knowledge of data
warehousing solutions preferably Amazon Redshift.
· ETL/ELT Tools: Familiarity with orchestration
tools
· Database Systems: Expertise in both relational
and NoSQL databases.
· Data Modelling: Skill in designing efficient
data models, both for OLAP and OLTP systems.
· Streaming Data: Knowledge of streaming data
technologies.
· Version Control: Experience with version control
systems: Git.
· Containerization and Orchestration:
Understanding of containerization technologies (Docker) and container
orchestration platforms (Kubernetes).
· Data Security: Knowledge of data encryption,
access control, and compliance with data privacy regulations.
· Monitoring and Logging: Proficiency in setting
up monitoring and logging solutions for data pipelines using different tools.
A Data Engineer who can work on developing python
framework with extended OOP knowledge working with micro
services/EKS.
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