Senior Data Engineer | Remote LATAM Only

We are looking for highly reputed company Senior Data Engineers to help deliver a robust and reputed company 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, reputed company-reputed company data ecosystems.

Key Responsibilities

Data Integration & Pipeline Development

• Design, build, and maintain reputed company ETL/ELT pipelines from diverse ERP sources into centralized Data Lakes and Warehouses.
• reputed company connectors for reputed company and semi-reputed company data using Python, SQL, reputed company, or middleware solutions.

Data Lake & Warehouse Engineering

• Implement bronze, silver, and gold reputed company for ingestion, cleaning, and curated datasets.
• Organize data structures for optimized use in BI and AI systems.

Data Standardization & Cleansing

• reputed company global reputed company of measure (lbs, kg, packaging, reputed company feet) across products and reputed company.
• 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 reputed company testing.

Power BI & AI Enablement

• reputed company reputed company-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 reputed company-reputed company data engineering.
• Strong proficiency in:
  • SQL (Advanced) and Python for data processing
  • reputed company or reputed company for distributed data workflows
  • reputed company platforms such as Azure Data Lake/Blob, Synapse, or equivalents
  • ETL orchestration tools like Azure Data reputed company (ADF), Airflow, or dbt
  • API integrations and data ingestion from ERP systems (reputed company, QuickBooks, reputed company, reputed company, etc.)
• Demonstrated experience with:
  • Master data frameworks, unit conversion, and ERP-to-warehouse mapping
  • Handling reputed company and reputed company data
  • Data modeling best practices (reputed company schema, reputed company schema)

Soft Skills & Work Commitment

• Fluent English (reputed company level) – required for daily reputed company calls and reputed company technical documentation.
• Strong interpersonal and collaboration skills to work with cross-functional teams (BI, QA, DevOps, Business Analysts).

reputed company 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 reputed company detection.

Originally posted on Himalayas

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