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Principal Data Engineer Jobs in Michigan

Principal Data Engineer Jobs
By Stellantis At Michigan, United States
Experience in implementing streaming data and batch pipelines using but not limited to technologies like Kinesis, Apache Kafka, Apache Spark
Experience in implementing data security and monitoring them with preventive and detective controls
Experience in writing and optimizing SQL queries using AWS analytic stack
Experience in NoSQL databases like Dynamo DB, Cassandra
Experience in designing and practicing DevSecOps in data pipelines
Experience in designing foundations of Operational excellence and implementing it

Are you a data engineer looking for an opportunity to work with cutting-edge technologies and have a direct impact on the success of a company? We are looking for a Principal Data Engineer to join our team and help us build the future of data-driven products. You will be responsible for designing and developing data pipelines, data models, and data warehouses to support our data-driven initiatives. You will also be responsible for developing and maintaining data-driven applications and services. If you have a passion for data engineering and a desire to make a difference, this is the job for you!

A Principal Data Engineer is a senior-level professional who is responsible for designing, developing, and managing data engineering solutions. They are responsible for the entire data engineering lifecycle, from data acquisition to data storage, data analysis, and data visualization.

What is Principal Data Engineer Skills Required?

• Expertise in data engineering technologies such as Hadoop, Spark, Kafka, and NoSQL databases
• Knowledge of data warehousing, ETL, and data modeling
• Ability to develop and maintain data pipelines
• Proficiency in programming languages such as Python, Java, and Scala
• Experience with data visualization tools such as Tableau and Power BI
• Strong problem-solving and analytical skills
• Excellent communication and interpersonal skills

What is Principal Data Engineer Qualifications?

• Bachelor’s degree in Computer Science, Information Technology, or a related field
• 5+ years of experience in data engineering
• Experience with cloud-based data engineering solutions
• Knowledge of data security and privacy regulations

What is Principal Data Engineer Knowledge?

• Knowledge of data engineering best practices
• Understanding of data governance principles
• Familiarity with data mining and machine learning techniques
• Knowledge of data warehousing and data lake architectures

What is Principal Data Engineer Experience?

• Proven experience in designing and developing