Data Analytics Engineer

hace 2 semanas

Cornellà de Llobregat, España PepsiCo A tiempo completo

Overview:
We are looking for a **Data Analytics Engineer** to join our** Integrated Business Planning (IBP) team**, which is responsible for building scalable and efficient data solutions demand planning, supply planning, finance monetization and other such areas. This role will be Mix of Data Engineering and Data Analysis. You will be taking ownership of assigned area both technically and functionally and will be empowered to lead the assinged areas end to end.

You will work on designing, developing, and maintaining delta data lake, optimizing data pipelines, finding synergies between different functional datasets and transforming raw data into gold-standard datasets. This role is ideal for someone who enjoys working with complex multi-functional data and wants to have a direct impact on business strategy.

Working with inspiring and experienced colleagues, you'll find that the atmosphere in our office in **Barcelona**is informal and engaging. With an active, get-things-done culture, this is a place where your dynamism and agility will make a difference.

**Responsibilities**:

- Be an active contributor to code development in projects and services
- Develop functional knowledge on the assigned areas and work as SME taking end to end responsibility.
- Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products
- Build and own the automation and monitoring frameworks that capture metrics and operational KPIs for data pipeline quality and performance
- Responsible for implementing best practices around systems integration, security, performance and data management
- Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape
- Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions
- Develop and optimize procedures to “productionalize” data science models
- Define and manage SLAs for data products and processes running in production

Qualifications:
- 5+ years of overall technology experience that includes at least 2+ years of hands-on building data engineering pipelines
- 3+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala etc.)
- 3+ years in cloud data engineering experience in Azure Azure Certification is a plus
- 3+ Years in building data engineering pipelines in Azure (ADF and databricks)
Experience with version control systems like Github and deployment & CI tools
- Experience with Statistical/ML techniques is a plus
- Experience with building solutions in the planning, retail ,finance or in the supply chain space is a plus
- Understanding of metadata management, data lineage, and data glossaries is a plus
- Working knowledge of agile development, including DevOps and DataOps concepts is a plus
- BA/BS in Computer Science, Math, Physics, or other technical fields

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