Data Engineer (39921)

As a Data Engineer, you'll architect scalable ETL frameworks and build robust data pipelines in Azure using Databricks, Data Factory, and Python/PySpark. You’ll mentor global teams, optimize data workflows, and enable critical business insights across the organization. I'm looking for someone with 4+ years in Azure Data Lake, Airflow, and advanced SQL, plus a passion for clean, scalable code and performance tuning. Bonus if you bring experience in ML pipelines, governance, or cost optimization. Ready to influence strategic decisions through data? Apply now.

🚀 Project
- leading the designing and implementation of complex data engineering solutions
- architecting scalable ETL frameworks
- optimizing data products
- mentoring engineers across global teams
- building and maintaining scalable data pipelines in Azure
- working with Databricks, Data Factory, and Python/PySpark
- supporting business-critical insights
- contributing to digital transformation initiatives

🎯 Skills
- 4+ years of experience with SQL, Azure Data Lake, Azure Data Factory, Databricks, and Apache Airflow, Python/PySpark for ETL/data engineering
- experience in API, batch, and streaming data ingestion
- strong understanding of data modeling, data structures, and database technologies
- proficiency with tools like Azure DevOps, GitHub, Jira, Jenkins
- experience with data quality assurance, testing, and monitoring
- ability to work independently and in teams on high-complexity tasks
- excellent communication skills in English
- ensuring data quality, monitoring, and governance
- strong understanding of Data structures, data modeling, database technologies
- experience with Azure DevOps, GitHub, Jira, Jenkins
- excellent communication, leadership, and mentoring abilities in English

💡 Nice to have
- experience with CI/CD pipelines and build automation
- knowledge of machine learning pipelines or analytics enablement
- exposure to data governance and security best practices
- prior experience in consumer goods or manufacturing domains
- experience in data strategy, optimization techniques, and cloud cost control
- familiarity with machine learning workflows and analytics
- domain expertise in consumer products or IoT-enabled devices