Data Engineer Azure Retail
il y a 4 semaines
Job Summary:
We are seeking a highly skilled Tech Lead / Senior Data Engineer to join our team at Lincoln. As a key member of our AI and Data Product team, you will be responsible for leading the design, development, and maintenance of AI and Data Products.
Key Responsibilities:
- Lead the design, implementation, and optimization of batch and real-time data ingestion pipelines using tools like Databricks (with PySpark) and DBT.
- Ensure that raw data is cleansed, transformed, and enriched to be analytics-ready while optimizing data processing for speed and cost-efficiency.
- Architect and manage data systems, including designing and implementing robust database schemas, tables, and views.
- Collaborate with data scientists to provide data in the right formats for machine learning and advanced analytics.
- Implement role-based access controls, data encryption (both at-rest and in-transit), and adhere to industry and organizational data standards.
- Manage infrastructure and configuration, including setting up and maintaining Azure cloud infrastructure.
Requirements:
- Strong software engineering skills, including Python and SQL.
- Experience with data architecture, particularly with Azure and Databricks.
- Mastery of PySpark and understanding of Delta Lake.
- Proficiency with Azure Data Factory and DBT for data transformation.
- Query tuning and pipeline optimization skills.
- Data security and compliance knowledge.
- Basic knowledge of containerization and CI/CD.
What We Offer:
- A collaborative and innovative environment.
- Certified training and personalized support.
- Remote work and flexible hours.
- Competitive compensation and attractive benefits.
- Mobility opportunities.
How to Apply:
Apply now and help redefine the future of data analytics at Lincoln.
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