2 months ago

Sr Advanced AI Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Design, develop, and maintain a scalable AI-ready data platform to enable data-driven decision making. Build end-to-end ingestion pipelines, implement Medallion Architecture, and deploy Delta Live Tables, enabling AI/ML readiness across structured and unstructured data in Azure Databricks and related ecosystems.

Location: Monterrey

Workplace: Onsite

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design and implement end-to-end ingestion pipelines from heterogeneous sources: Snowflake, SQL Server, Excel, REST APIs, and unstructured data into Azure Databricks.
•Architect and enforce Medallion Architecture (Bronze → Silver → Gold) ensuring data arrives clean, validated, and fit for purpose at each layer.
•Build Delta Live Tables (DLT) pipelines with declarative data quality expectations, schema evolution, and automated lineage tracking.
•Implement incremental loading patterns using CDC, watermarking, and Delta Lake MERGE/UPSERT for efficient, scalable ingestion.
•Enable structured and unstructured data processing: documents, Excel files, JSON, Parquet, building the foundation for AI/ML consumption.

Key Requirements

•Databricks: 4+ years hands-on: PySpark, Delta Lake, Workflows, Unity Catalog.
•Demonstrate expertise in data strategy, for example: Medallion Architecture, Domain Data Modeling and Functional Data Architecture.
•Data Quality Frameworks (i.e. rule-based validation, anomaly detection)
•Data Pipelines: incremental loading, CDC, CI/CD, Observability
•Advanced Python/Pyspark and Advanced SQL

Experience:Data engineeringAIBig data

Skills:PythonPysparkSQLDatabricksDelta LakeUnity CatalogDLTPower BIAzureGCPKafka

Languages:English (US)

Tech Stack:DatabricksPySparkDelta LakeDLTAzure DatabricksUnity CatalogPower BIGCPAzureKafkaPythonSQL

Company Brief

Honeywell

Global diversified technology and manufacturing company providing aerospace systems, building technologies, performance materials, and safety & productivity solutions for industrial, commercial, and consumer markets.

Industry: Conglomerates & Holding Companies

Company Size: Enterprise (1,001+ employees)

Revenue: USD 25B to 50B

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Charlotte, United States

Founded: 1906

Glassdoor: 3.8

Website LinkedIn Glassdoor

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Honeywell

2 months ago

Sr Advanced AI Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: Monterrey

Workplace: Onsite

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design and implement end-to-end ingestion pipelines from heterogeneous sources: Snowflake, SQL Server, Excel, REST APIs, and unstructured data into Azure Databricks.
•Architect and enforce Medallion Architecture (Bronze → Silver → Gold) ensuring data arrives clean, validated, and fit for purpose at each layer.
•Build Delta Live Tables (DLT) pipelines with declarative data quality expectations, schema evolution, and automated lineage tracking.
•Implement incremental loading patterns using CDC, watermarking, and Delta Lake MERGE/UPSERT for efficient, scalable ingestion.
•Enable structured and unstructured data processing: documents, Excel files, JSON, Parquet, building the foundation for AI/ML consumption.

Key Requirements

•Databricks: 4+ years hands-on: PySpark, Delta Lake, Workflows, Unity Catalog.
•Demonstrate expertise in data strategy, for example: Medallion Architecture, Domain Data Modeling and Functional Data Architecture.
•Data Quality Frameworks (i.e. rule-based validation, anomaly detection)
•Data Pipelines: incremental loading, CDC, CI/CD, Observability
•Advanced Python/Pyspark and Advanced SQL

Experience:Data engineeringAIBig data

Skills:PythonPysparkSQLDatabricksDelta LakeUnity CatalogDLTPower BIAzureGCPKafka

Languages:English (US)

Tech Stack:DatabricksPySparkDelta LakeDLTAzure DatabricksUnity CatalogPower BIGCPAzureKafkaPythonSQL

Company Brief

Honeywell

Industry: Conglomerates & Holding Companies

Company Size: Enterprise (1,001+ employees)

Revenue: USD 25B to 50B

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Charlotte, United States

Founded: 1906

Glassdoor: 3.8

Website LinkedIn Glassdoor