Data Engineer
6 dni temu
Data Engineer
47_R000116703
Obowiązki
Understand the need of Business/Operations teams
Design, develop, and implement data and analytics platforms (DAP) and pipelines
Create and optimize data models to support business intelligence and analytics needs
Develop and manage Extract, Transform, Load (ETL) processes to ensure data integrity and quality
Administer and optimize databases, ensuring efficient storage and retrieval of data
Integrate data from various sources, including APIs, databases, and third-party services
Monitor and optimize data processing performance to ensure timely data availability
Work closely with data scientists, analysts, data assets managers, architects, and stakeholders to understand data requirements and provide fit for use solutions
Utilize coding standards and best practices for efficient and reusable services and components
Implement and optimize data engineering best practices, including query optimization, version control, and code reviews
Utilize end-user visualization tools like Power BI for data presentation
Implement data governance policies to ensure data security, compliance, and quality standards
Maintain comprehensive documentation for data architecture, processes, and workflows
Build strong relationships and work collaboratively within multidisciplinary teams
Stay updated on emerging technologies and tools to enhance data engineering practices and infrastructure
Wymagania
Bachelor's degree in Computer Science, Information Systems, or a related field, a Master’s degree is a plus
Proficiency in programming languages such as Python, Java, R or Scala
Strong understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra).
Experience with ETL tools and frameworks (e.g., Apache NiFi, Talend, Informatica).
Knowledge of big data technologies (e.g., Hadoop, Spark, Kafka).
Experience with cloud services (e.g. Google Cloud Platform, Azure, AWS) for data storage and processing.
Understanding of data modeling techniques and best practices
Familiarity with data engineering best practices, including query optimization and version control.
Knowledge of modern application development frameworks and tools
Experience with end-user visualization tools like Power BI.
Strong problem-solving abilities, communication skills, and a collaborative mindset
Excellent communication skills and the ability to work effectively in diverse, multidisciplinary teams
Oferujemy
P&G-sized projects and access to world leading IT partners and technologies from Day 1
Wide range of self-development possibilities (training and certifications paths)
Competitive starting salary and benefits program (private health care, P&G stock, saving plans, sport cards)
Regular salary increases and possible promotions - in line with your results and performance
Opportunity to change role every few years to be in the best place for you and best for P&G
Źródło: P&G/Praca
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