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Senior Big Data Engineer in N-iX

18 November

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N-iX

N-iX

0
0 reviews
Without experience
Full-time work
N-iX is looking for a Senior Big Data Engineer to join our team!Our client is a leading provider of technical services, delivering both standard and custom intranet and internet-based software and applications systems. Due to increasing demand for in-house digital projects, the client is seeking to outsource certain development tasks to strategic partners.The client is looking to build strategic long-term relationships with leading development partners to accelerate business growth through high-
N-iX is looking for a Senior Big Data Engineer to join our team!Our client is a leading provider of technical services, delivering both standard and custom intranet and internet-based software and applications systems. Due to increasing demand for in-house digital projects, the client is seeking to outsource certain development tasks to strategic partners.The client is looking to build strategic long-term relationships with leading development partners to accelerate business growth through high-quality and cost-efficient software development. The selected partner(s) will support the development of robust and scalable Consumer and Enterprise applications.Responsibilities:Design and develop data pipelines and ETL processes using tools such as Apache Airflow, NiFi, and dbt.Implement and manage large-scale, distributed data processing frameworks.Collaborate closely with data scientists to ensure data availability and quality for machine learning models.Optimize performance of data storage solutions, including SQL/Relational (PostgreSQL, Oracle) and NoSQL (MongoDB, Redis) databases.Work with streaming and CDC technologies like Kafka and Debezium to facilitate real-time data processing.Participate in all stages of SDLC from conceptualization to deployment, focusing on CI/CD principles using Docker, Kubernetes, and GitLab.Set up and manage data warehousing solutions (Postgres, Oracle, Clickhouse) to support analytical requirements.Provide technical expertise and best practices for data engineering solutions, including data governance and security.Requirements:Proven experience (5+ years) as a Big Data Engineer or similar role.Strong expertise in ETL tools: Apache Airflow, NiFi, Huawei ETL, ODI, and dbt.Experience with streaming and change data capture tools: Kafka, Debezium.Proficiency in SQL and NoSQL databases, including PostgreSQL, Oracle, MongoDB, and Redis.Experience with data warehousing solutions like Clickhouse, Postgres, and Oracle.Familiarity with cloud-based data processing environments and containerization tools such as Docker and Kubernetes.Excellent problem-solving and analytical skills, with attention to detail.Bachelor’s degree in Computer Science, Information Systems, or a related field.Upper-Intermediate level of English.Nice to Have:Experience with private cloud setups.Familiarity with data science and machine learning frameworks like TensorFlow, PyTorch.Knowledge of data visualization tools: QlikView, Tableau, Apache Superset, Grafana.We offer:Flexible working format - remote, office-based or flexibleA competitive salary and good compensation packagePersonalized career growthProfessional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)Active tech communities with regular knowledge sharingEducation reimbursementMemorable anniversary presentsCorporate events and team buildingsOther location-specific benefits Show more Show less Посадовий рівеньNot applicable Type of employment Full time Job duties Engineering Industries Food and Beverage Services, Food and Beverage Manufacturing and Manufacturing
Without experience
Full-time work
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