Advanced 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 Data Engineer with strong hands-on experience in Python, SQL, and Cloud platforms to design, build, and maintain scalable data pipelines and data platforms. The role involves working with large datasets, ensuring data quality, and enabling analytics and downstream applications through reliable and efficient data engineering solutions.

Responsibilities

• Design, develop, and maintain scalable data pipelines for structured and semi-structured data.
• Build and optimize ETL/ELT workflows using Python and SQL.
• Ingest data from multiple sources (databases, APIs, files, streaming systems) into data lakes and data warehouses.
• Work with cloud-based data platforms to implement and manage data solutions.
• Ensure data quality, data integrity, and performance optimization across pipelines.
• Collaborate with data scientists, analysts, and application teams to support analytics and reporting requirements.
• Monitor, troubleshoot, and enhance data processing jobs for reliability and scalability.
• Follow best practices for data security, governance, and compliance.

Requirements

• Strong hands-on experience with Python for data processing and automation.
• Excellent SQL skills for data querying, transformation, and performance optimization.
• Experience building and maintaining data pipelines and ETL frameworks.
• Hands-on experience working with cloud platforms (AWS, Azure, or GCP).
• Experience with data lakes, data warehouses, and distributed data processing concepts.
• Solid understanding of data modeling, schema design, and performance tuning.
• Around 5 years of relevant experience in data engineering or related roles.

Bonus Points If You Have

• Experience with big data technologies such as Spark, Hadoop, or similar frameworks.
• Exposure to cloud-native data services (e.g., BigQuery, Redshift, Snowflake, Azure Synapse).
• Experience with streaming technologies such as Kafka or cloud-native streaming services.
• Knowledge of DevOps practices for data platforms (CI/CD for data pipelines).
• Exposure to AI/ML data pipelines and feature engineering.
• Experience in automotive, embedded, or product-based environments.

What Makes You Eligible

• 6 to 9 years of overall experience with at least 6 years of relevant data engineering experience.
• Proven ability to work with large-scale data systems in production environments.
• Strong analytical and problem-solving skills.
• Ability to work independently and collaborate effectively across cross-functional teams.
• Experience delivering enterprise-grade data solutions on cloud platforms.