Hitachids
IIoT Data Engineer
Hitachids, Dallas, Texas, United States, 75215
Job TitleIndustry 4.0 Data Management Engineer
We’re Hitachi Digital Services, a global digital solutions and transformation business. Our expertise in innovation and technology unlocks potential – from taking theme park fans on magical rides to conserving natural resources, protecting rainforests, and saving lives. We automate, modernize, optimize, and accelerate.The teamYou'll be part of an innovative engineering team that specializes in the development and deployment of advanced Industrial IOT (IIOT) systems. The team collaborates closely with cross-functional departments, including applications and data management partners, to deliver reliable, high-performance solutions.The roleYou’ll be responsible for building, testing, and maintaining database pipeline solutions for time-series databases, PostgreSQL, and AWS Cloud systems. This includes optimizing data storage and retrieval processes for performance and cost-efficiency. You will develop and maintain ETL pipelines and APIs, integrating third-party application data and MQTT data brokers while ensuring security and compliance with industry standards.What you’ll bringBachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).Minimum 7 years of experience in data management solutions, particularly leading complex data engineering projects within the IIOT/Manufacturing domain.Expertise in data pipeline building using Spark, Scala, Python, and SQL.Experience with data modeling, ETL development, and data warehousing.Proficiency in message brokers, including Kafka.Strong knowledge of relational SQL, NoSQL, and TimeSeries databases, such as PostgreSQL.Extensive AWS experience, including EC2, AWS APIs, CLI, and SDKs.Excellent communication skills and the ability to explain technical concepts to non-technical audiences.A passion for data quality, automation, and scalability.Experience collaborating with data providers and back-end developers to design data flows.(Good to have) Experience building dashboards for data analytics with Power BI or similar tools.Championing diversity equity and inclusionDiversity, equity, and inclusion (DEI) are integral to our culture and identity. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team.How we look after youWe offer industry-leading benefits that go far beyond compensation. We provide support services and resources that take care of your holistic health and well-being.About usWe’re a global team of innovators. Together, we harness engineering excellence and a passion for creating meaningful solutions to complex challenges.We’re proud to be an equal opportunity employer. We welcome applicants without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, or any other protected characteristic.
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We’re Hitachi Digital Services, a global digital solutions and transformation business. Our expertise in innovation and technology unlocks potential – from taking theme park fans on magical rides to conserving natural resources, protecting rainforests, and saving lives. We automate, modernize, optimize, and accelerate.The teamYou'll be part of an innovative engineering team that specializes in the development and deployment of advanced Industrial IOT (IIOT) systems. The team collaborates closely with cross-functional departments, including applications and data management partners, to deliver reliable, high-performance solutions.The roleYou’ll be responsible for building, testing, and maintaining database pipeline solutions for time-series databases, PostgreSQL, and AWS Cloud systems. This includes optimizing data storage and retrieval processes for performance and cost-efficiency. You will develop and maintain ETL pipelines and APIs, integrating third-party application data and MQTT data brokers while ensuring security and compliance with industry standards.What you’ll bringBachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).Minimum 7 years of experience in data management solutions, particularly leading complex data engineering projects within the IIOT/Manufacturing domain.Expertise in data pipeline building using Spark, Scala, Python, and SQL.Experience with data modeling, ETL development, and data warehousing.Proficiency in message brokers, including Kafka.Strong knowledge of relational SQL, NoSQL, and TimeSeries databases, such as PostgreSQL.Extensive AWS experience, including EC2, AWS APIs, CLI, and SDKs.Excellent communication skills and the ability to explain technical concepts to non-technical audiences.A passion for data quality, automation, and scalability.Experience collaborating with data providers and back-end developers to design data flows.(Good to have) Experience building dashboards for data analytics with Power BI or similar tools.Championing diversity equity and inclusionDiversity, equity, and inclusion (DEI) are integral to our culture and identity. We support your uniqueness and encourage people from all backgrounds to apply and realize their full potential as part of our team.How we look after youWe offer industry-leading benefits that go far beyond compensation. We provide support services and resources that take care of your holistic health and well-being.About usWe’re a global team of innovators. Together, we harness engineering excellence and a passion for creating meaningful solutions to complex challenges.We’re proud to be an equal opportunity employer. We welcome applicants without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, or any other protected characteristic.
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