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You will be updated with latest job alerts via emailWere looking for a skilled Senior Data Engineer with strong experience in distributed systems Python/Scala and modern data engineering tools to help design and implement an end-to-end data architecture for a leading enterprise client. This role is part of a strategic initiative to enable robust analytics BI and operational workflows across both on-premise and cloud environments.
In this role youll work closely with both Blends internal teams and client stakeholders to build and optimize data pipelines support data modeling efforts and ensure reliable data flows for analytics reporting and business decision-making.
This position is ideal for engineers with a strong data foundation who are looking to apply their skills in large-scale modern data environments while gaining exposure to advanced architectures and tooling.
You will:
Design and implement an end-to-end data solution architecture tailored to enterprise analytics and operational needs.
Build maintain and optimize data pipelines and transformations using Python or Scala SQL and Spark.
Manage large-scale data storage and processing with Iceberg Hadoop and HDFS.
Develop and maintain dbt models to ensure clean reliable and well-structured data.
Implement robust data ingestion processes integrating with third-party APIs and on-premise systems.
Collaborate with cross-functional teams to align on business goals and technical requirements.
Contribute to documentation and continuously improve engineering and data quality processes.
Qualifications :
Qualifications
4 years of experience in data engineering including at least 1 year with on-premise systems.
Proficiency in Python or Scala for data workflows and pipeline development.
Strong experience with SQL Spark Iceberg Hadoop HDFS and dbt.
Familiarity with third-party APIs and data ingestion processes.
Excellent communication skills with the ability to work independently and engage effectively with both technical and non-technical stakeholders.
Preferred Qualifications
Masters degree in Data Science or a related field.
Experience with Airflow or other orchestration tools.
Hands-on experience with Cursor Copilot or similar AI-powered developer tools.
Language Requirements
You must have excellent written and verbal English communication skills.
Additional Information :
Our Perks and Benefits:
Learning Opportunities:
Mentoring and Development:
Career development plans and mentorship programs to help shape your path.
Celebrations & Support:
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 :
No
Employment Type :
Full-time
Full-time