Senior Data Engineer
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Job Location:
Monthly Salary:
Posted on:
10-10-2025
Vacancies:
1 Vacancy
Job Summary
We are seeking a Senior Data Engineer to contribute to our next level of growth and expansion.
Design develop and maintain scalable data pipelines and modeling workflows within Databricks focusing on data processing scoring automation and performance optimization.
Implement and execute model scoring workflows in Databricks via Lakehouse Federation including daily refresh automation and notebook orchestration.
Build optimize and monitor ETL/ELT pipelines integrating Python PySpark and cloud-based data ecosystems.
Develop and maintain .NET pipelines to transfer model scores from Databricks to external systems via Azure EventHub.
Create and manage Databricks asset bundles required to promote solutions to higher environments.
Collaborate with cross-functional teams to ensure data governance reliability and performance across environments.
Document architectural and technical decisions including design assumptions implementation rationale and scalability considerations.
Troubleshoot issues optimize performance and ensure data workflow stability and accuracy.
Qualifications :
Qualifications
Proven experience as a Data Engineer or Databricks Engineer with strong expertise in Databricks modeling pipelines and orchestration.
35 years of experience in data engineering or cloud-based data modeling roles.
Strong proficiency in Python and PySpark for data processing and machine learning workflows.
Hands-on experience with Azure cloud environments (preferred).
Proficiency in Databricks jobs tasks widgets notebooks EventHub and Lakehouse Federation.
Familiarity with ETL frameworks data ecosystems and ML model deployment.
Experience with .NET pipelines (nice to have).
Excellent documentation and communication skills.
Ability to thrive in both independent and collaborative environments.
What about languages
You will need excellent written and verbal English for clear and effective communication with the team.
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.
Travel opportunities to attend industry conferences and meet clients.
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.
Remote Work :
Yes
Employment Type :
Full-time
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Blend360 is an award-winning provider of data, analytics, and talent solutions for Fortune 500 companies. The company has made the Inc. 5000 list of Fastest Growing Companies every year they have been in business and has been awarded a world-class ranking in client satisfaction for th ... View more
