Senior Data Engineer

Blend is a premier AI services provider seeking a Senior Data Engineer with expertise in Python, SQL, and Azure, and hands-on experience in Databricks to build and maintain scalable data pipelines and architecture.

Requirements

• Migrate legacy data infrastructure while ensuring performance, security, and scalability.
• Build and optimize data systems, pipelines, and analytical tools, leveraging a bronze-silver-gold architecture.
• Develop and configure Databricks notebooks and pipelines for ingestion of data from both on-premise and cloud environments, following native Databricks standards.
• Collaborate with stakeholders to translate business needs into robust data solutions, and effectively communicate technical progress, risks, and recommendations.
• Implement strong data governance and access control mechanisms to ensure data quality, security, and compliance.
• Conduct advanced data analysis to support decision-making and reporting needs.
• Apply QA testing practices within data workflows, particularly in healthcare environments.
• Drive initiatives in Data Discovery, Data Lineage, and Data Quality across the organization.

Benefits

• Learning Opportunities: Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
• Access to AI learning paths to stay up to date with the latest technologies.
• Study plans, courses, and additional certifications tailored to your role.
• Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
• English lessons to support your professional communication.
• Mentoring and Development: Career development plans and mentorship programs to help shape your path.
• Celebrations & Support: Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
• Company-provided equipment.
• Flexible working options to help you strike the right balance.

Originally posted on Himalayas