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
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