Informacje o stanowisku

Are you passionate about shaping data architecture in a dynamic environment, making a real impact on systems and processes? If you have experience in database design, data integration, and performance optimization, we have the perfect opportunity for you!

Oczekujemy

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• At least 10 years of experience in data architecture and database engineering.
• Strong expertise in SQL, NoSQL, and data warehousing.
• Proficiency in data modeling, optimization, and indexing techniques.
• Experience with data integration, ETL processes, and data synchronization.
• Knowledge of data governance, security, and compliance standards.
• Familiarity with cloud-based data solutions (AWS, Azure, Google Cloud) is a plus.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.
• Willingness to stay updated with the latest industry trends and technologies.

Required Skills:

• Data Lakehouse Architecture
• Dimensional Data Modeling
• GCP Data Architecture
• Big Data, Python, PySpark, Databricks
• Big Data Modeling and AWS
• Solution Architecture Design and Prototyping

Agencja zatrudnienia – nr wpisu 47

ta oferta pracy przeznaczona jest dla osób powyżej 18 roku życia

Oferujemy

• Opportunity to work on cutting-edge Big Data and cloud solutions.
• A dynamic work environment with the latest technologies.
• Career growth and collaboration with industry experts.
• Competitive salary and benefits package.

Zadania

• Develop and implement a comprehensive data architecture strategy, covering data models, databases, and integration processes.
• Design and manage database systems, ensuring performance, scalability, and security.
• Create and maintain data models based on best practices for normalization, indexing, and optimization.
• Establish and enforce data governance policies to ensure data quality, compliance, and security.
• Oversee data integration processes, including ETL (Extract, Transform, Load) pipelines and synchronization mechanisms.
• Continuously monitor and optimize database performance, addressing bottlenecks and improving queries.
• Ensure system compliance with data protection regulations (e.g., GDPR, HIPAA).
• Collaborate with IT teams, data analysts, and developers to deliver the best data solutions.
• Stay up to date with emerging data technologies and recommend innovative solutions.
• Maintain detailed documentation of data architecture, database schemas, and integration processes.
• Provide guidance and mentorship to junior data specialists.

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