Data Operations Engineer/ Data əməliyyatları üzrə mühəndis

Ə/h razılaşma ilə

1286

Tam iş günü

Bakı, Azərbaycan

15.04.25 - 15.05.25

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;
Competitive compensation;
Incentives and bonuses based on performance;
Fringe benefits;
Performance-driven culture;
Diversified learning and development opportunities;
Career growth opportunity;
Hybrid work opportunity;
Unique experience of working in the most dynamic industry;
Innovative products and digitalization;
International experience;
Amazing team of highly skilled professionals;
Cross-functional collaboration;
Experience sharing.

Higher or relevant experience (BS in Computer Science or Engineering);
3+ years of Data Engineering/Software Engineering within Telco, Banking and Retail industry (Background in computer science, mathematics, or a similar quantitative field with a minimum of 3-5 years);
Specific areas of expertise: Data Engineering, Data Architecture, Process Optimization ,Digital Technology;
Language Skills: good level of Azerbaijani, English, Russian;
Extensive hands-on experience in data ecosystems; 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;
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 quality.