Blendis is a premier AI services provider committed to co‑creating meaningful impact for its clients through data science, AI, technology, and people. The company’s mission is to fuel bold visions by aligning human expertise with artificial intelligence, unlocking value, and fostering innovation with world‑class talent and data‑driven strategy. For more information, visit www.blend360.com
Job Description
We’re looking for a Senior Data Engineer to support the design, development, and optimization of data solutions for a high‑impact enterprise initiative. This role is adecuado for someone with hands‑on experience in data processing, transformation, and validation who thrives on building reliable, well‑structured datasets for analytics and business workflows.
Responsibilities
- Design, develop, and maintain data pipelines to ingest, transform, and normalize data from multiple sources.
- Lead the design and implementation of data ingestion architectures in Snowflake, ensuring scalability and reliability.
- Apply best practices in data validation to ensure accuracy, consistency,
and reliability across datasets.
- Perform data transformation and normalization to support analytics and reporting use cases.
- Work with large datasets using SQL and Python to process and analyze data efficiently.
- Ensure data quality by implementing validation rules, checks, and monitoring processes.
- Collaborate with business and technical stakeholders to understand data requirements and translate them into scalable solutions.
- Support ETL processes and file handling workflows for structured and semi‑structured data.
- Contribute to documentation and continuous improvement of data processes and standards.
Qualifications
- 4+ years of experience in Data Engineering or Data Analytics roles with a strong engineering focus.
- Strong hands‑on experience with Snowflake (Must).
- Strong hands‑on experience with Python for data processing and transformation.
- Strong experience with SQL and work
📌 Senior Data Engineer (Esquel)
🏢 Blend
📍 Esquel
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