Software Engineer - Phyton developer

Role Overview

Join the Data Management & Analytics Team to define and implement robust data solutions. You will support the design, development, and release of ETL processes, data integration, and data warehousing solutions while ensuring compliance with data governance and privacy regulations.

Responsibilities

• Understand and contribute to defining solutions for the Data Management & Analytics Team.
• Support the design of data solutions, including effort, cost, governance, and compliance.
• Define, develop, test, and release ETLs, Data Integration, and data update procedures for local DWH and Datamarts.
• Document all new developments and changes in the defined repository.
• Interface and collaborate with various stakeholders and suppliers.
• Ensure development cycles comply with project phases and keep stakeholders updated.
• Collaborate with other departments to ensure information accessibility and data quality.
• Analyze business processes for data acquisition to identify critical issues and improvements.
• Promptly report data risks, including breaches, quality impacts, or misleading visualizations.

Requirements

• Minimum 2 years of Data Engineering experience.
• Strong understanding of ETL processes and data warehousing concepts.
• Hands-on experience with Databricks, Data Factory, PySpark, MS SQL, and ADLS (Gen-2).
• Knowledge of Design Patterns, Design Principles, and Functional Patterns.
• Ability to develop scalable and reusable frameworks for data ingestion and enhancement.
• Strong analytical and troubleshooting skills.
• Commitment to ensuring data quality and accuracy through testing and validation.

Nice to Have

• Experience with Azure DevOps and build/release pipelines.
• Experience with Power BI.

Skills

• Databricks
• PySpark
• Azure Data Factory
• MS SQL
• ADLS