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# Azure Data Technical Specialist

- **Company:** HCL Technologies
- **Location:** Northbrook, IL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Big Data, Cloud Computing, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Relational Databases, DevOps, Python (Programming Language), Performance Tuning, Scrum Methodology, Standard Sql, Azure Data Lake, Software Engineering, SQL Databases, Data Streaming, Data Ingestion, Azure Data Factory, Apache Spark, Data Lakes, Pyspark, Information Technology, Apache Kafka, Data Management, Azure Synapse Analytics, Data Pipelines, Databricks
- **Published:** November 8, 2026
- **Apply:** https://www.careerbuilder.com/job-details/azure-data-technical-specialist-northbrook-il--f5b50e1d-dc1d-4877-9164-a8a3cceeed5c

## About the Role

Microsoft Windows Azure, Microsoft Windows Azure, Cloud Computing, Software Engineering, Technical Delivery, Customer Relations, Best Practices, Cross-Functional, Data Management, Technical Leadership, Mandatory Skills

 * Strong expertise in Azure Data Engineering ecosystem:
 * Azure Databricks (advanced implementation & optimization)
 * Azure Data Factory (complex pipeline orchestration)
 * Azure Synapse Analytics
 * Azure Storage / Data Lake (ADLS Gen2)
 * Azure DevOps (CI/CD pipelines)
 * Deep understanding of ETL/ELT frameworks and data modeling concepts
 * Advanced proficiency in SQL and relational databases
 * Strong experience in performance tuning and large-scale data processing
 * Hands-on experience with Python and Spark (PySpark preferred)
 * Experience in solution design and architecture discussions

Preferred Skills

 * Experience working in client-facing or consulting roles
 * Exposure to data governance, security, and compliance frameworks
 * Knowledge of real-time/streaming data processing (Kafka/Event Hub)
 * Familiarity with Agile / Scrum methodologies
 * Certification in Azure Data Engineering or Databricks is a plus

Educational Qualification

 * Bachelor's degree in Computer Science / IT / related field

Other Requirements

Skill Evaluation Matrix (E3.2 Expectations)

 * Databricks, ADF, Synapse, ETL, SQL Advanced expertise (Rating: 4+)
 * DevOps & Storage Strong working knowledge (Rating: 3+)
 * Python & Spark Hands-on implementation (Rating: 3+)
 * Client handling & architecture Ownership-driven capability

1.Relevant certifications in Azure Data Factory (ADF), Azure Databricks, SQL, Python are a plus.

## Description

* Lead the design and implementation of enterprise-grade data solutions using Azure Databricks
 * Architect and optimize end-to-end data pipelines leveraging ADF, Databricks, and Synapse
 * Drive data ingestion, transformation, and integration strategies across multiple data sources
 * Provide technical leadership and guidance to junior engineers and project teams
 * Engage with stakeholders to understand business needs and translate them into scalable solutions
 * Optimize performance, cost, and reliability of Azure data platforms
 * Implement CI/CD pipelines and governance using Azure DevOps
 * Ensure adherence to data quality, security, and compliance standards
 * Contribute to solution architecture, design reviews, and technical decision-making