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Azerconnect LLC

Data operations engineer (Məlumat əməliyyatları üzrə mühəndis)

Ə/h razılaşma ilə 132
Tam iş günü
Bakı, Azərbaycan
12.07.24 - 11.08.24

İş haqqında məlumat

  • Analyze and Execute Data Strategy within Data Architecture and Data Platforms Environment;
  • Providing the first line, where required, second-line technical troubleshooting;
  • Managing multiple data load pipelines to ensure they are operational;
  • Running frequent audits and operationalizing data quality monitoring and resolving issues;
  • Restoring lost, corrupted data if any;
  • Researching new data sources and performing basic data source analysis;
  • Planning resources necessary for data operations along with Data Architect and Dev Ops;
  • Support models using Deep Learning and other machine learning algorithms and techniques;
  • Manipulate and support complex, high-volume, high-dimensionality data from multiple sources;
  • Collaborate with engineers to integrate algorithms efficiently with backend production services and monitor them after launch;
  • Work with the product team to define new products, build ML solutions, and integrate them into the roadmap.

Tələblər

  • Higher education;
  • Specific areas of expertise: Data Engineering, Data Architecture, Process Optimization, Digital Technology;
  • 3+ years of Data Engineering/Software Engineering within Telco, Banking and Retail industry;
  • Fluent in thBS in Computer Science or Engineering;
  • Background in computer science, mathematics, or a similar quantitative field with a minimum of 3-5 years;
  • Extensive hands-on experience in data ecosystems (cloud ecosystems would be beneficial); covering data ingestion, data modeling, and data provisioning to consumers and downstream systems;
  • Programming experience (Java, JQuery, SQL, Scala preferred) with experience in data modeling;
  • Advanced skills using one or more scripting languages (e. g. Python, bash, etc.);
  • Experience in ETL/ELT design, data, and interface specifications, quality assurance and testing methods. Knowledge of data pipeline orchestration (e.g. Apache Airflow, Ni-Fi);
  • Basic knowledge in implementing DataOps and MLOps concepts;
  • Keen ability to work collectively with engineering and product managers to understand and translate data-driven initiatives and potential ideas into fully developed customer and partner solutions and experiences;
  •  Exceptional problem-solving, critical reasoning, and creative thinking skills;
  • Ability to identify core and edge cases, and dependencies in any scenario;
  • Experience with identifying and resolving issues working with disparate sources of data and data qualitye Azerbaijani, English and Russian.
  • Those interested in the vacancy can apply to the link https://fa-emfh-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1007/requisitions/preview/888/apply/email.
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