Associate Engineer - Data engineer

Job Summary

Introduction: A Career at HARMAN Automotive

We're a global, multi-disciplinary team that's putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career.

• Engineer audio systems and integrated technology platforms that augment the driving experience
• Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence
• Advance in-vehicle infotainment, safety, efficiency, and enjoyment

About the Role

We are looking for a skilled Azure Data Engineer with hands-on experience in Azure Data Services and tools to design, build, and optimize scalable data pipelines. The role involves working on ETL processes, data integration, pipeline orchestration, and resource optimization to support analytics and reporting needs across the organization.

What You Will Do

• Design, develop, and maintain ETL/ELT data pipelines using Azure Data Services.
• Build and manage data workflows using Azure Data Factory / Synapse Pipelines.
• Ingest data from multiple sources (databases, APIs, flat files, cloud storage).
• Perform data transformation, cleansing, and enrichment to support analytics use cases.
• Optimize data pipelines, storage, and compute resources for performance and cost efficiency.
• Monitor, troubleshoot, and resolve pipeline failures and data quality issues.
• Collaborate with data analysts, data scientists, and application teams to understand data requirements.
• Implement best practices for data security, reliability, and scalability.
• Participate in Agile ceremonies and contribute to continuous improvement initiatives.

What Makes You Eligible

• Bachelor's degree in Computer Science, IT, Engineering, or a related discipline.
• 3 to 6 years of experience in data engineering or data platform development roles.
• Hands-on experience working with Azure Data Services in production environments.
• Experience delivering data solutions for analytics, reporting, or business intelligence.

What You Need to Be Successful

• Strong hands-on experience with Azure Data Factory, Azure Synapse Analytics, and/or Azure Databricks.
• Experience working with ETL pipelines, data integration, and orchestration frameworks.
• Proficiency in SQL and strong understanding of relational and analytical data models.
• Experience with Azure Data Lake Storage (ADLS) and data storage optimization techniques.
• Knowledge of resource optimization, cost management, and performance tuning in Azure.
• Familiarity with CI/CD for data pipelines.
• Understanding of data security, access control, and governance in Azure environments.
• Good analytical and problem-solving skills.
• Strong communication skills and ability to collaborate across teams.

Bonus Points if You Have

• Experience with PySpark / Python for data processing.
• Exposure to Power BI or other BI/reporting tools.
• Knowledge of Azure Monitor, Log Analytics, or pipeline monitoring tools.
• Experience with streaming data (Event Hubs, Azure Stream Analytics).
• Azure certifications such as DP-203 (Azure Data Engineer Associate).
• Experience working in large-scale enterprise data platforms.