Senior Data Engineer (PowerBI & Data Integration)

📋 Description

• Collaborate with U.S.-based stakeholders on design and requirements.
• Write code and implement solutions.
• Create data pipelines with versioning and change management.
• Manage complexity of versioned data pipelines.
• Develop ETL/ELT processes from multiple sources.
• Design, build, maintain batch or real-time pipelines in production.
• Automate data ingestion, aggregation, and ETL.
• Log and instrument pipelines and services.
• Ensure data accuracy, integrity, privacy, security, and compliance.

🎯 Requirements

• 5+ years in data engineering.
• Advanced SQL and relational DB design.
• Cloud data warehouses (Snowflake/Redshift/BigQuery/Azure Synapse).
• Python with Pandas/NumPy.
• Spark/Hadoop ecosystem experience.
• Airflow and data pipelines; PowerBI/Tableau/QuickSight experience.
• AWS/Azure/GCP data services.

🎁 Benefits

• Medical Insurance as per policy.
• Life Insurance as per policy.
• 12 days paid vacation, sick leave, holidays.
• Paternity/maternity leave per local law.
• Saving Fund Asociacion Solidarista.
• Paid professional certifications.