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SLB

Data and Infrastructure Engineer

Posted 4 Days Ago
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Remote
Hiring Remotely in Algiers Province
Entry level
Remote
Hiring Remotely in Algiers Province
Entry level
Supports data collection, transformation, quality control, migration, governance, and large-scale dataset assembly. Designs, deploys, maintains, and troubleshoots cloud infrastructure across AWS, Azure, and GCP, including containers, databases, APIs, virtualization, microservices, and on-premises applications. The role also supports IoT solutions, automation, documentation, customer-facing tasks, and on-call operations while developing expertise in data engineering and cloud technologies.
The summary above was generated by AI
Entry-Level Data and Infrastructure EngineerLocation:

Algeria

Employment Type:

Full-time

Job Summary

We are seeking a motivated Entry-Level Data and Infrastructure Engineer to join our team in Algeria. This role focuses on two main areas: managing and transforming data from multiple sources into structured formats for analysis, and designing, supporting, and maintaining cloud computing environments. This is an exciting opportunity to gain hands-on experience with cloud technologies, data infrastructure, and digital solutions.

Key Responsibilities

Data Management:

  • Organize, collect, process, and store data from multiple sources

  • Transform raw, unstructured data into usable formats for analysis

  • Perform data mapping and quality control across one or more data sources

  • Assemble large, complex datasets meeting business requirements

  • Support data loading, migration, and retrieval tasks

  • Advise on data governance, policies, roles, and dataflow

  • Assess company data and infrastructure environments and propose improvements

  • Work with stakeholders including data, design, product, and executive teams to resolve data-related technical issues

Infrastructure & Cloud Support:

  • Design, plan, manage, maintain, and support cloud computing environments (AWS, Azure, Google Cloud)

  • Collaborate with engineering teams to ensure digital applications run efficiently on cloud infrastructure

  • Deploy applications using container technologies such as Docker and Kubernetes

  • Maintain existing databases (SQL, NoSQL, Postgres) and related infrastructure

  • Debug technical issues in complex stacks involving virtualization, containers, and microservices

  • Use API knowledge to design RESTful services and integrate them with existing data providers

  • Operate, develop, test, and implement infrastructure systems and hardware with automation in mind

  • Install and configure IoT Agora solutions, including network setup and SDK implementation

  • Support on-premises applications, including licensing, installation, and configuration

  • Maintain accurate and up-to-date documentation on all activities

  • Participate in out-of-office on-call rotations as required

  • Gain experience with OpenStack, Linux/UNIX, Rackspace, Docker, and Microsoft Azure

  • Work with OSDU community code and Schlumberger Enterprise Data Management (EDM) workflows

What We Offer
  • Hands-on experience with cloud computing, data infrastructure, and digital applications

  • Mentoring from experienced engineers and IT specialists

  • Exposure to real-world projects and customer-facing tasks

  • Career development opportunities in data engineering and cloud technologies

  • Collaborative and supportive work environment

Qualifications & Experience
  • Engineering degree in Computer Science, Information Technology, Data Engineering, Cloud Computing, or related field

  • Basic understanding of cloud platforms (AWS, Azure, GCP), virtualization, containers, and data management

  • Familiarity with SQL, NoSQL, Docker, Kubernetes, and Linux/UNIX environments is a plus

  • Analytical, problem-solving, and organizational skills

  • Good communication and teamwork abilities

  • Motivation to learn and grow in data and infrastructure engineering

SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, national origin, age, disability, or other characteristics protected by law.

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