Data Engineers

JobID: 2760

Category:

JobSchedule:

Posted Date: 2026-09-18T04:56:52+00:00

JobShift:

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• 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.

Programming Languages: Proficiency in programming languages commonly used in data engineering, such as Python, Java, or Scala. with OOP expertise

Data Warehousing: Strong knowledge of data warehousing solutions preferably Amazon Snowflake.

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