Senior Data Engineer

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 ideal 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 working with large‑scale datasets.
• Proven experience in data validation, data transformation, and normalization.
• Experience building and maintaining ETL pipelines and handling data ingestion workflows.
• Strong attention to detail with a focus on data quality and reliability.
• Ability to work in cross‑functional environments and communicate effectively with stakeholders.

Nice to Have

• Experience working with Salesforce data structures.
• Familiarity with Tamarac or similar RIA platforms.
• Experience with Compass or SharePoint integrations.
• Experience with file handling and ingestion processes (e.g., CSV, JSON, batch files).

Benefits

• Certifications in AWS, 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 for a wide range of technical and soft‑skill courses.
• English lessons to support professional communication.
• Travel opportunities to attend industry conferences and meet clients.
• Career development plans and mentorship programs.
• 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.
• Additional benefits may vary according to location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.