PASA Panasonic Automotive Company is hiring a Senior Data Engineer to build and maintain the data infrastructure that enables efficient data collection, processing, storage, and analysis for informed decision-making. You will be critical in ensuring data availability, quality, and reliability throughout the data lifecycle.
What You'll Do
- Architect and design scalable, reliable, and efficient data pipelines.
- Design and implement data models to support efficient querying and analysis.
- Build robust ETL workflows to extract, transform, and load data into Azure Data Lake.
- Integrate data from various sources including databases, APIs, and third-party services.
- Implement data quality checks and monitoring mechanisms with alerts for anomalies.
- Optimize the performance of data pipelines and processing systems.
- Implement security measures and access controls to protect sensitive data.
- Collaborate with cross-functional teams to understand data requirements.
- Assess and select appropriate tools, technologies, and frameworks.
- Guide and mentor other data engineers and participate in code reviews.
- Diagnose and resolve issues in data pipelines or systems in a timely manner.
What We're Looking For
- Bachelor's or Master's degree in computer science, information technology, data science, or a related field.
- Five (5)+ years of experience as a data engineer.
- Significant experience specifically working with Azure data services.
- Proficiency in Microsoft Azure services: Azure Data Factory, Azure Databricks, Azure Analytical Service, Azure Synapse Analytics, Azure Cosmos DB.
- Strong Experience in implementing data solutions in the Azure Data Lake platform.
- Expertise in SQL, T-SQL and experience with relational and NoSQL databases.
- Experience with data modeling, schema design, and performance optimization, especially creating tabular models for Self-service analytics using Power BI.
- Strong skills in data integration, ETL processes, and data orchestration workflows.
- Expertise in data warehousing concepts and techniques.
- Programming skills in languages such as Python, PySpark, Java, Scala, or PowerShell for scripting and automation.
- Experience designing, building, and optimizing end-to-end data pipelines.
- Proven track record of implementing data solutions that meet performance, scalability, and reliability requirements.
- Experience with data migration, data warehousing, and data lake solutions.
- The ability to analyze complex data engineering challenges and develop innovative solutions.
- Strong troubleshooting skills to identify and resolve issues in data pipelines and systems.
- Effective communication skills to work collaboratively with cross-functional teams.
- The ability to translate technical concepts into understandable terms for non-technical team members.
- Meticulous in ensuring data accuracy and quality.
- Ability to lead and mentor junior members of the data engineering team.
Nice to Have
- Experience with Data Governance tools like Azure Purview or Alation.
- Experience in creating data pipelines to extract the data from SAP applications.
Technical Stack
- Microsoft Azure, Azure Data Factory, Azure Databricks, Azure Analytical Service, Azure Synapse Analytics, Azure Cosmos DB, Azure Data Lake, Azure Purview, Alation
- SQL, T-SQL, Python, PySpark, Java, Scala, PowerShell, Power BI, SAP
Benefits & Compensation
- Great Medical/Dental Benefits
- Company-Matched 401K Retirement Savings
- Annual Bonus Program
- Educational Assistance
- Relaxed Dress Code
- PASATalks Speaker Summits
- Leadership & Mentorship Programs
- High5 Reward Recognition Program
- Onsite Happy Hours
Panasonic is an Equal Opportunity/Affirmative Action employer, and all qualified applicants will receive consideration for employment without regard to: race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability status, protected veteran status, or any other characteristics protected by law.
