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

• Bachelors 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