Senior Data Engineer | Remote LATAM Only

We are looking for highly experienced Senior Data Engineers to help deliver a robust and scalable data architecture across global ERP systems. This role is ideal for someone passionate about building end-to-end pipelines, enabling AI/BI solutions, and thriving in fast-paced, high-stakes environments. You will contribute to the acceleration of global data transformation initiatives, ensuring modern, enterprise-ready data ecosystems. Key Responsibilities Data Integration & Pipeline Development - Design, build, and maintain scalable ETL/ELT pipelines from diverse ERP sources into centralized Data Lakes and Warehouses. - Develop connectors for structured and semi-structured data using Python, SQL, APIs, or middleware solutions. Data Lake & Warehouse Engineering - Implement bronze, silver, and gold layers for ingestion, cleaning, and curated datasets. - Organize data structures for optimized use in BI and AI systems. Data Standardization & Cleansing - Align global units of measure (lbs, kg, packaging, linear feet) across products and regions. - Execute data deduplication, enrichment, and harmonization from disparate systems. Architectural Collaboration - Collaborate closely with Data Architecture leadership on schema definitions, partitioning strategies, and infrastructure design. - Set up and maintain sandbox/staging environments for safe testing. Power BI & AI Enablement - Provide ready-to-use, clean datasets to support BI dashboards and AI/ML use cases. Documentation & Governance - Document pipeline architectures, data transformation logic, and integration points. - Ensure adherence to data governance policies and support metadata management. Requirements Technical Requirements - 7+ years of experience in enterprise-scale data engineering. - Strong proficiency in: - SQL (Advanced) and Python for data processing - Spark or Databricks for distributed data workflows - Cloud platforms such as Azure Data Lake/Blob, Synapse, or equivalents - ETL orchestration tools like Azure Data Factory (ADF), Airflow, or dbt - API integrations and data ingestion from ERP systems (NetSuite, QuickBooks, Salesforce, RF Smart, etc.) - Demonstrated experience with: - Master data frameworks, unit conversion, and ERP-to-warehouse mapping - Handling structured and unstructured data - Data modeling best practices (star schema, snowflake schema) Soft Skills & Work Commitment - Fluent English (C1 level) – required for daily client calls and clear technical documentation. - Strong interpersonal and collaboration skills to work with cross-functional teams (BI, QA, DevOps, Business Analysts). Nice to Have - Experience standardizing data across global manufacturing or supply chain environments. - Familiarity with Power BI datasets, alert triggers, and integration with messaging/email tools. - Exposure to AI/ML pipelines, including data preparation for machine learning or anomaly detection. Originally posted on Himalayas