D&A Data Engineer - FSR 5163

Descrição:

Standard ProfileD&A-Data-Engineer – FSR-5163

Main Skill • Experience with Azure Data Factory, Databricks, and Azure-based data solutions.

• Strong knowledge of ETL/ELT processes, data modeling, SQL, and data warehousing.

• Familiarity with Delta Lake and Azure Data Lake Storage.

• Ability to work collaboratively with cross-functional teams.

• Proven experience in data modeling.

• Familiarity with cloud data platforms (e.g., Azure, AWS, Google Cloud) and big data technologies.

• Experience with data governance, data quality, and data security best practices.

• Ability to work collaboratively with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.

• Strong problem-solving, analytical, and organizational skills.

Required Qualifications • Certifications in data architecture, cloud platforms, or data management (e.g., AWS Certified Data Analytics, Google Professional Data Engineer, DAMA).

• Experience with data visualization tools (e.g., Power BI, Tableau) and programming languages (e.g., Python, Java) is a plus.

• Knowledge of industry-standard data models and regulatory requirements.

Main Activities and Responsibilities Position Overview

As a Data Engineer, you will play a pivotal role in ensuring effective storage, integration, and utilization of data across the Retail portfolio. You’ll collaborate with cross-functional teams to align data strategies with organizational goals, optimize data systems, and ensure data security and compliance.

Key Accountabilities

• Collaborate with cross-functional teams to align data engineering practices with business objectives.

• Create conceptual, logical, and physical data models to support business requirements.

• Determine organizational data needs and translate them into robust data architectures.

• Define and enforce data architecture standards, policies, and procedures for effective data management, governance, and archival strategies.

• Develop and implement data migration strategies from legacy systems.

• Develop ETL/ELT pipelines in Azure Data Factory and Databricks.

• Integrate usage history, weather data, pricing curves, and product terms into standardized models.

• Build and optimize Delta Lake tables in ADLS for staging, reference, and historical use cases.

• Enable workflows through Azure Notebooks and Databricks jobs.

Essential Skills and Experience

• Experience with Azure Data Factory, Databricks, and Azure-based data solutions.

• Strong knowledge of ETL/ELT processes, data modeling, SQL, and data warehousing.

• Familiarity with Delta Lake and Azure Data Lake Storage.

• Ability to work collaboratively with cross-functional teams.

• Proven experience in data modeling.

• Familiarity with cloud data platforms (e.g., Azure, AWS, Google Cloud) and big data technologies.

• Experience with data governance, data quality, and data security best practices.

• Ability to work collaboratively with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.

• Strong problem-solving, analytical, and organizational skills. Habilidades:

English Level Advanced

End Date June 30 2026