Postúlate en Kit Empleo: kitempleo.com.co/empleo/1ahsjt

We are looking for highly experienced Senior Data Engineers to help deliver a robust and scalable data architecture across integral 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.

Postúlate en Kit Empleo: kitempleo.com.co/empleo/1ahsjt

📌 Senior Data Engineer (Colombia)
🏢 Reconocida empresa
📍 Colombia