Big Data Specialist

Worldwide | Sept. 1, 2026

Report as Closed

Company: SONDA

Country: Worldwide

Type: Remote

Employment: Full-time

Description: A Leading Digital Transformation Company in the Region

• Professional degree in Computer Engineering, Civil Engineering with a focus on Computer Science, or similar.
• More than 4 years of experience in Data Engineering or Big Data projects.
• Design and implementation of ETL/ELT processes.
• Development of data warehouses and data marts.
• Distributed processing with Apache Spark (PySpark).
• Dimensional modeling (facts and dimensions).
• Integration of multiple data sources.
• Optimization of queries on large volumes.
• Implementation of incremental loads (CDC, Snapshots, Upsert).
• Data governance and quality.
• Participation in analytics or business intelligence projects.

• Design and implement ETL/ELT processes for the data warehouse (DWH).
• Build dimensional models and data marts.
• Implement pipelines using Python, PySpark, and dbt.
• Optimize data loading processes and analytical queries.
• Implement quality controls, traceability, and data lineage.
• Publish datasets for reporting, dashboards, and AI.
• Support the integration of analytical components

What do we offer? SONDA Academy, a continuous learning platform designed to maximize your professional development. SONDA Wellness, a program aimed at helping you balance your personal and professional life by promoting a series of initiatives focused on your physical, mental, and social well-being. And much more! + Diversity + Inclusion = Innovation and Collaboration At SONDA, we are committed to diversity. We foster an inclusive environment that ensures talented individuals can work in a positive setting that encourages them to advance their careers with equal opportunities. Because we know that a diverse environment is essential for driving innovation, we seek candidates based on their professional qualifications, regardless of race, skin color, religion, age, sex, sexual orientation, gender identity, nationality, or disability. Join our team!

• Certifications or training in Python, Spark, Data Engineering, Data Warehouse, PostgreSQL, Docker, Kubernetes, DevOps, Data Science, Big Data, or Analytical Architectures.

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