Data Engineer
2 miesięcy temu
Job Summary
As a Data Engineer at Procter & Gamble, you will play a crucial role in designing, developing, and implementing data solutions that enable data-driven decision making across the organization. You will collaborate with cross-functional teams to acquire, transform, and optimize data from various sources.
Key Responsibilities:
- Design, develop, and implement data solutions that acquire, transform, and optimize data from diverse sources
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
- Build scalable data pipelines to enable efficient data processing and analysis
- Ensure data quality and integrity by implementing data validation and cleansing processes
- Contribute to the development of data models and data architecture
- Leverage coding standards, CICD, and best practices to ensure efficient and reusable services and components
- Work closely with data scientists and analysts to deliver actionable insights
- Stay updated with the latest tools and technologies in the data engineering field and propose innovative solutions
Requirements:
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field
- Experience with Databricks and Microsoft Azure
- Proficiency in data modeling, data integration, and ETL processes
- Strong programming skills in languages such as Python and SQL
- Knowledge of delta lake, database systems, and query optimization
- Understanding of data governance and data privacy principles
- Strong problem-solving and analytical skills
- Excellent communication and collaboration abilities
- Familiarity with DevOps and CICD process and toolset such as GitHub and Azure DevOps
- Experience working in an Agile environment
- Familiarity with big data technologies and frameworks, such as Hadoop, Spark, or Kafka, is a plus
What We Offer:
- Work in an international team with global responsibilities
- Industry certifications
- Competitive salary and benefits program
- Internal coaching programs and training
- Flexible working arrangements
- A long-term career with development and growth opportunities
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