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.RequirementsMigrate 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.BenefitsLearning 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

Apply Now