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Senior Data Science Engineer
Il y a 2 mois
Company: Lincoln
Job Title: Senior Data Science Engineer - Tech Lead
Job Type: Full-time
Location: Remote
About Us:
At Lincoln, we are a leading provider of data-driven solutions, revolutionizing the way businesses analyze and utilize data. With over 30 years of experience, we have established ourselves as experts in Modern BI, Big Data, and Data Science.
Job Summary:
We are seeking a highly skilled Senior Data Science Engineer - Tech Lead to join our team. As a key member of our AI and Data Product team, you will be responsible for leading and contributing to the design, development, maintenance, and evolution of AI and Data Products.
Key Responsibilities:
- Design and Implementation: Spearhead the design, implementation, and optimization of batch and real-time data ingestion pipelines using tools like Databricks (with PySpark) and DBT.
- Data Processing: Ensure that raw data is cleansed, transformed, and enriched to be analytics-ready while optimizing data processing for speed and cost-efficiency.
- Data Systems Architecture: Architect and manage data systems, including optimizing storage formats such as Parquet or Delta Lake, enforcing data quality checks, and documenting data lineage.
- Collaboration: Collaborate with data experts, including data scientists and analysts, to provide data in the right formats for machine learning and advanced analytics.
- Security and Compliance: Implement role-based access controls, data encryption (both at-rest and in-transit), and adhere to industry and organizational data standards.
- Infrastructure Management: Set up and maintain Azure cloud infrastructure, including configuring Azure Data Lake Storage, Blob Storage, and deploying Databricks clusters.
- Documentation and Training: Onboard new team members by providing access and initial training on tools, and create comprehensive documentation and knowledge bases for data pipelines, best practices, and tooling.
Requirements:
- Technical Skills: Python, SQL, software engineering practices, Python ecosystem, and SQL optimization.
- Data Architecture: Data processing with Big Data frameworks, including mastery of PySpark and understanding of Delta Lake.
- Data Storage and Management: Database management, data formats, and storage optimization.
- Data Integration Tools: Proficiency with Azure Data Factory and DBT for data transformation.
- Security and Compliance: Data security, access control, and compliance with regulations.
What We Offer:
- Competitive Compensation and Attractive Benefits: We offer a comprehensive benefits package, including competitive salary, health insurance, and retirement plan.
- Remote Work and Flexible Hours: Balance your work and personal life with our flexible working arrangements.
- Certified Training and Personalized Support: Access to professional development and mentoring to enhance your skills.
- Mobility Opportunities: Possibility of relocation to Lille, Lyon, or Aix-en-Provence.