Company Description
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com
Job Description
We are looking for an experienced Senior Data Engineer with a strong foundation in Python, SQL, and Azure, and hands-on expertise in Databricks. In this role, you will build and maintain scalable data pipelines and architecture to support analytics, data science, and business intelligence initiatives. You’ll work closely with cross-functional teams to drive data reliability, quality, and performance.
Responsibilities:
- 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.
Qualifications
- Studies in computer science, Engineering, or a related field.
- 3+ years of hands-on experience in data engineering, with at least 2 years working with Azure or Databricks
- English level B2 or more
- Experience working with Azure Cloud, CI/CD pipelines, and Agile methodologies
- Proficiency in developing and managing Databricks notebooks and implementing data engineering frameworks.
- Strong programming skills in Python for data processing and automation.
- Advanced proficiency in SQL for querying and transforming large datasets.
- Solid understanding of data modelling, warehousing, and performance optimization techniques.
- Proven experience in data cataloging and inventorying large-scale datasets.
- Pyspark experience would be a plus
Additional Information
Our Perks and 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.
Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.