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# Databricks Consultant

- **Company:** TAL International Container Corporation
- **Location:** Houston, MS, United States
- **Experience:** Experienced
- **Salary:** $100,000.0 - $200,000.0
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Cloud Storage, Databases, Continuous Integration, Data Architecture, Data Control, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, Data Warehousing, DevOps, Apache Hive, Machine Learning, Performance Tuning, Standard Sql, Software Deployment, Data Streaming, Cloud Platform System, Azure Data Factory, Apache Spark, Git, Data Lakes, Pyspark, Information Technology, AWS Glue, Apache Kafka, Machine Learning Operations, Azure Synapse Analytics, Data Pipelines, Databricks
- **Published:** August 16, 2026
- **Apply:** https://www.careerjet.com/job/us196a208974683794ac2df6832ccb535b/eaa

## About the Role

* Strong hands-on experience with Databricks.
 * Expert-level knowledge of:

 * Apache Spark
 * PySpark
 * SQL
 * Experience with cloud platforms such as:

 * Azure
 * AWS
 * GCP
 * Strong knowledge of:

 * Delta Lake
 * Unity Catalog
 * Databricks Workflows
 * Experience with:

 * Data Warehousing
 * Data Lakes
 * Lakehouse architecture
 * Strong understanding of:

 * ETL/ELT frameworks
 * Data modeling
 * Familiarity with:

 * CI/CD
 * Git
 * DevOps practices
 * Excellent problem-solving and communication skills.

Preferred Skills

 * Experience with:

 * Azure Data Factory (ADF)
 * Azure Synapse
 * AWS Glue
 * Knowledge of:

 * Machine Learning on Databricks
 * MLOps on Databricks
 * Experience with streaming technologies:

 * Apache Kafka
 * Structured Streaming
 * Databricks or cloud platform certifications.

Qualifications

 * Bachelor's degree in:

 * Computer Science
 * Information Technology
 * Engineering
 * Related technical field
 * 5+ years of experience in:

 * Data Engineering
 * Big Data
 * 2+ years of hands-on Databricks implementation experience.

Nice to Have

 * Databricks Certified Data Engineer Associate/Professional certification.
 * Experience in industry domains such as:

 * Utilities
 * Energy
 * Banking
 * Healthcare
 * Retail
 * Experience with Agile delivery methodologies.

Primary Technologies

 * Databricks
 * PySpark
 * Spark SQL
 * Delta Lake
 * Azure
 * AWS
 * GCP
 * Azure Data Factory (ADF)
 * Apache Kafka
 * Git
 * CI/CD

## Description

* Design, develop, and implement scalable data solutions using the Databricks platform.
 * Apply strong expertise in:

 * Data Engineering
 * Cloud Platforms
 * Apache Spark
 * Modern Data Architectures
 * Collaborate closely with business and technical stakeholders to understand requirements and deliver effective solutions.

Key Responsibilities

 * Design and develop data pipelines using:

 * Databricks
 * Apache Spark
 * PySpark
 * Build and maintain ETL/ELT processes for large-scale data ingestion and transformation.
 * Implement Data Lake and Lakehouse architectures on Databricks.
 * Integrate data from multiple sources, including:

 * Databases
 * APIs
 * Cloud storage
 * Optimize Spark jobs and Databricks workloads for:

 * Performance
 * Scalability
 * Cost efficiency
 * Collaborate with:

 * Business users
 * Solution architects
 * Developers
 * Technical stakeholders
 * Develop data models to support:

 * Reporting
 * Analytics
 * AI/ML initiatives
 * Implement standards for:

 * Data quality
 * Data governance
 * Data security
 * Data monitoring
 * Support production deployments.
 * Perform troubleshooting and performance tuning.
 * Prepare technical documentation.
 * Provide knowledge transfer and technical guidance to project teams.


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