Job Title: Data Engineer - Data Solutions Delivery + Data Catalog & Quality Engineer About Advanced Energy Advanced Energy Industries, Inc. (NASDAQ: AEIS), enables design breakthroughs and drives growth for leading semiconductor and industrial customers. Our precision power and control technologies, along with our applications know-how, inspire close partnerships and innovation in thin-film and industrial manufacturing. We are proud of our rich heritage, award-winning technologies, and we value the talents and contributions of all Advanced Energy's employees worldwide. Department: Data and Analytics Team: Data Solutions Delivery Team Job Summary: We are seeking a highly skilled Data Engineer to join our Data and Analytics team. As a member of the Data Solutions Delivery team, you will be responsible for designing, building, and maintaining scalable data solutions. The ideal candidate should have extensive knowledge of Databricks, Azure Data Factory, and Google Cloud, along with strong data warehousing skills from data ingestion to reporting. Familiarity with the manufacturing and supply chain domains is highly desirable. Additionally, the candidate should be well-versed in data engineering, data product, data platform concepts, data mesh, medallion architecture, and establishing enterprise data catalogs using tools like Ataccama, Collibra, or Microsoft Purview. The candidate should also have proven experience in implementing data quality practices using tools like Great Expectations, Deequ, etc. Key Responsibilities: Design, build, and maintain scalable data solutions using Databricks, ADF, and Google Cloud. Develop and implement data warehousing solutions, including ETL processes, data modeling, and reporting. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Ensure data integrity, quality, and security across all data platforms. Provide expertise in data engineering, data product, and data platform concepts. Implement data mesh principles and medallion architecture to build scalable data platforms. Establish and maintain enterprise data catalogs using tools like Ataccama, Collibra, or Microsoft Purview. Implement data quality practices using tools like Great Expectations, Deequ, etc. Work closely with the manufacturing and supply chain teams to understand domain-specific data requirements. Develop and maintain documentation for data solutions, data flows, and data models. Act as an individual contributor, picking up tasks from technical solution documents and delivering high-quality results. Qualifications: Bachelor’s degree in computer science, Information Technology, or a related field. Proven experience as a Data Engineer or similar role. In-depth knowledge of Databricks, Azure Data Factory, and Google Cloud. Strong data warehousing skills, including ETL processes, data modelling, and reporting. Familiarity with manufacturing and supply chain domains. Proficiency in data engineering, data product, data platform concepts, data mesh, and medallion architecture. Experience in establishing enterprise data catalogs using tools like Ataccama, Collibra, or Microsoft Purview. Proven experience in implementing data quality practices using tools like Great Expectations, Deequ, etc. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Ability to work independently and as part of a team. Preferred Qualifications: Master's degree in a related field. Experience with cloud-based data platforms and tools. Certification in Databricks, Azure, or Google Cloud. As part of our total rewards philosophy, we believe in offering and maintaining competitive compensation and benefits programs for our employees to attract and retain a talented, highly engaged workforce. Our compensation programs are focused on equitable, fair pay practices including market-based base pay, an annual pay-for-performance incentive plan, we offer a strong benefits package in each of the countries in which we operate. Advanced Energy is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans, and Individuals with Disabilities. We are committed to protecting and respecting your privacy. We take your privacy seriously and will only use your personal information to administer your application in accordance with the RA No. 10173 also known as the Data Privacy Act of 2012 Show more Show less

Position Title - Data Engineer About Advanced Energy Advanced Energy Industries, Inc. (NASDAQ: AEIS), enables design breakthroughs and drives growth for leading semiconductor and industrial customers. Our precision power and control technologies, along with our applications know-how, inspire close partnerships and innovation in thin-film and industrial manufacturing. We are proud of our rich heritage, award-winning technologies, and we value the talents and contributions of all Advanced Energy's employees worldwide. Responsibilities: Work with business to understand their current state architecture and contributing data sources, technologies, interfaces, performance issues and system configurations. Work closely with the team across the overall data warehousing program including data acquisition, data curation and data syndication. Apply knowledge of the Microsoft platform tooling involved in successful Azure implementations. Serve as the subject matter expert with respect to Azure, cloud applications and system administration best practices. Experience designing data lakes, database schemas and data models for large scale data platform implementation on Azure. Develop system integrations using, Azure Logic Apps, Integration services, Power Automate, PowerApps, etc. Perform project management activities including project documentation, business requirements and project tracking. Ensuring data quality and consistency through data cleaning, transformation, and integration processes. Monitoring and troubleshooting data-related issues within the Azure environment to maintain high availability and performance. Collaborating with data scientists, business analysts, and other stakeholders to understand data requirements and implement appropriate data solutions. Implementing data security measures, including encryption, access controls, and auditing, to protect sensitive information. Automating data pipelines and workflows to streamline data ingestion, processing, and distribution tasks. Utilizing Azure's analytics services, such as Azure Synapse Analytics, to provide insights and support data-driven decision-making. Keeping abreast of the latest Azure features and technologies to enhance data engineering processes and capabilities. Documenting data procedures, systems, and architectures to maintain clarity and ensure compliance with regulatory standards. Providing guidance and support for data governance, including metadata management, data lineage, and data cataloguing. Tech Stack: Python SQL and NoSQL databases Scala Spark-SQL Experience with Azure: ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field Minimum of 5+ years of data and analytics field experience in the industries like manufacturing, engineering, supply chain with large-scale implementation experience. 3-5 years in Data pipeline engineering role in Data and Analytics scope. Working knowledge of Azure Analytics features such as Stream Analytics, Machine Learning and Application Insights. Modelling and ETL knowledge with Erwin, Azure Databricks, Data Factory, SSIS and Azure Synapse. Develop and maintain system integrations using, Azure Logic Apps, Integration Services, Power Automate, PowerApps, etc. Microsoft Azure data platform experience with Power BI, Azure Data Lake, data warehouse and Data Factory. Knowledge on migrating on-premises applications to Azure PaaS and Azure LaaS. Attention to detail and ability to coordinate multiple tasks, set priorities and meet deadlines Should be well versed with Data Structures & algorithms Excellent analytical and problem-solving skills. Ability to work independently as a self-starter, and within a team environment. Good Communication skills- Written and Verbal As part of our total rewards philosophy, we believe in offering and maintaining competitive compensation and benefits programs for our employees in order to attract and retain a talented, highly engaged workforce. Our compensation programs are focused on equitable, fair pay practices including market-based base pay, an annual pay-for-performance incentive plan, we offer a strong benefits package in each of the countries in which we operate. Advanced Energy is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans, and Individuals with Disabilities. We are committed to protecting and respecting your privacy. We take your privacy seriously and will only use your personal information to administer your application in accordance with the RA No. 10173 also known as the Data Privacy Act of 2012. Show more Show less

About Advanced Energy Advanced Energy Industries, Inc. (NASDAQ: AEIS), enables design breakthroughs and drives growth for leading semiconductor and industrial customers. Our precision power and control technologies, along with our applications know-how, inspire close partnerships and innovation in thin-film and industrial manufacturing. We are proud of our rich heritage, award-winning technologies, and we value the talents and contributions of all Advanced Energy's employees worldwide. Department: Data and Analytics Team: Data Solutions Delivery Team Job Summary: We are seeking a highly skilled Data Engineer with 5-10 Years of Experience to join our Data and Analytics team. As a member of the Data Solutions Delivery team, you will be responsible for designing, building, and maintaining scalable data solutions. The ideal candidate should have extensive knowledge of Databricks, Azure Data Factory , and Google Cloud, along with strong data warehousing skills from data ingestion to reporting. Familiarity with the manufacturing and supply chain domains is highly desirable. Additionally, the candidate should be well-versed in data engineering, data product, data platform concepts, data mesh, medallion architecture, and establishing enterprise data catalogs using tools like Ataccama, Collibra, or Microsoft Purview . The candidate should also have proven experience in implementing data quality practices using tools like Great Expectations, Deequ , etc. Key Responsibilities: Design, build, and maintain scalable data solutions using Databricks, ADF, and Google Cloud. Develop and implement data warehousing solutions, including ETL processes, data modeling, and reporting. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Ensure data integrity, quality, and security across all data platforms. Provide expertise in data engineering, data product, and data platform concepts. Implement data mesh principles and medallion architecture to build scalable data platforms. Establish and maintain enterprise data catalogs using tools like Ataccama, Collibra, or Microsoft Purview. Implement data quality practices using tools like Great Expectations, Deequ, etc. Work closely with the manufacturing and supply chain teams to understand domain-specific data requirements. Develop and maintain documentation for data solutions, data flows, and data models. Act as an individual contributor, picking up tasks from technical solution documents and delivering high-quality results. Qualifications: Bachelor’s degree in computer science, Information Technology, or a related field. Proven experience as a Data Engineer or similar role. In-depth knowledge of Databricks, Azure Data Factory, and Google Cloud. Strong data warehousing skills, including ETL processes, data modelling, and reporting. Familiarity with manufacturing and supply chain domains. Proficiency in data engineering, data product, data platform concepts, data mesh, and medallion architecture. Experience in establishing enterprise data catalogs using tools like Ataccama, Collibra, or Microsoft Purview. Proven experience in implementing data quality practices using tools like Great Expectations, Deequ, etc. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Ability to work independently and as part of a team. Preferred Qualifications: Master's degree in a related field. Experience with cloud-based data platforms and tools. Certification in Databricks, Azure, or Google Cloud. As part of our total rewards philosophy, we believe in offering and maintaining competitive compensation and benefits programs for our employees to attract and retain a talented, highly engaged workforce. Our compensation programs are focused on equitable, fair pay practices including market-based base pay, an annual pay-for-performance incentive plan, we offer a strong benefits package in each of the countries in which we operate. Advanced Energy is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans, and Individuals with Disabilities. We are committed to protecting and respecting your privacy. We take your privacy seriously and will only use your personal information to administer your application in accordance with the RA No. 10173 also known as the Data Privacy Act of 2012 Show more Show less

Position Title Data Engineer About Advanced Energy Advanced Energy Industries, Inc (NASDAQ: AEIS), enables design breakthroughs and drives growth for leading semiconductor and industrial customers Our precision power and control technologies, along with our applications know-how, inspire close partnerships and innovation in thin-film and industrial manufacturing We are proud of our rich heritage, award-winning technologies, and we value the talents and contributions of all Advanced Energy's employees worldwide, Responsibilities: Work with business to understand their current state architecture and contributing data sources, technologies, interfaces, performance issues and system configurations, Work closely with the team across the overall data warehousing program including data acquisition, data curation and data syndication, Apply knowledge of the Microsoft platform tooling involved in successful Azure implementations, Serve as the subject matter expert with respect to Azure, cloud applications and system administration best practices, Experience designing data lakes, database schemas and data models for large scale data platform implementation on Azure, Develop system integrations using, Azure Logic Apps, Integration services, Power Automate, PowerApps, etc Perform project management activities including project documentation, business requirements and project tracking, Ensuring data quality and consistency through data cleaning, transformation, and integration processes, Monitoring and troubleshooting data-related issues within the Azure environment to maintain high availability and performance, Collaborating with data scientists, business analysts, and other stakeholders to understand data requirements and implement appropriate data solutions, Implementing data security measures, including encryption, access controls, and auditing, to protect sensitive information, Automating data pipelines and workflows to streamline data ingestion, processing, and distribution tasks, Utilizing Azure's analytics services, such as Azure Synapse Analytics, to provide insights and support data-driven decision-making, Keeping abreast of the latest Azure features and technologies to enhance data engineering processes and capabilities, Documenting data procedures, systems, and architectures to maintain clarity and ensure compliance with regulatory standards, Providing guidance and support for data governance, including metadata management, data lineage, and data cataloguing, Tech Stack: Python SQL and NoSQL databases Scala Spark-SQL Experience with Azure: ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field Minimum of 5+ years of data and analytics field experience in the industries like manufacturing, engineering, supply chain with large-scale implementation experience, 3-5 years in Data pipeline engineering role in Data and Analytics scope, Working knowledge of Azure Analytics features such as Stream Analytics, Machine Learning and Application Insights, Modelling and ETL knowledge with Erwin, Azure Databricks, Data Factory, SSIS and Azure Synapse, Develop and maintain system integrations using, Azure Logic Apps, Integration Services, Power Automate, PowerApps, etc Microsoft Azure data platform experience with Power BI, Azure Data Lake, data warehouse and Data Factory, Knowledge on migrating on-premises applications to Azure PaaS and Azure LaaS, Attention to detail and ability to coordinate multiple tasks, set priorities and meet deadlines Should be well versed with Data Structures & algorithms Excellent analytical and problem-solving skills, Ability to work independently as a self-starter, and within a team environment, Good Communication skillsWritten and Verbal As part of our total rewards philosophy, we believe in offering and maintaining competitive compensation and benefits programs for our employees in order to attract and retain a talented, highly engaged workforce Our compensation programs are focused on equitable, fair pay practices including market-based base pay, an annual pay-for-performance incentive plan, we offer a strong benefits package in each of the countries in which we operate, Advanced Energy is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans, and Individuals with Disabilities, We are committed to protecting and respecting your privacy We take your privacy seriously and will only use your personal information to administer your application in accordance with the RA No 10173 also known as the Data Privacy Act of 2012,

Job Title: Data Engineer Data Solutions Delivery + Data Catalog & Quality Engineer About Advanced Energy Advanced Energy Industries, Inc (NASDAQ: AEIS), enables design breakthroughs and drives growth for leading semiconductor and industrial customers Our precision power and control technologies, along with our applications know-how, inspire close partnerships and innovation in thin-film and industrial manufacturing We are proud of our rich heritage, award-winning technologies, and we value the talents and contributions of all Advanced Energy's employees worldwide, Department: Data and Analytics Team: Data Solutions Delivery Team Job Summary: We are seeking a highly skilled Data Engineer to join our Data and Analytics team As a member of the Data Solutions Delivery team, you will be responsible for designing, building, and maintaining scalable data solutions The ideal candidate should have extensive knowledge of Databricks, Azure Data Factory, and Google Cloud, along with strong data warehousing skills from data ingestion to reporting Familiarity with the manufacturing and supply chain domains is highly desirable Additionally, the candidate should be well-versed in data engineering, data product, data platform concepts, data mesh, medallion architecture, and establishing enterprise data catalogs using tools like Ataccama, Collibra, or Microsoft Purview The candidate should also have proven experience in implementing data quality practices using tools like Great Expectations, Deequ, etc Key Responsibilities: Design, build, and maintain scalable data solutions using Databricks, ADF, and Google Cloud, Develop and implement data warehousing solutions, including ETL processes, data modeling, and reporting, Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions, Ensure data integrity, quality, and security across all data platforms, Provide expertise in data engineering, data product, and data platform concepts, Implement data mesh principles and medallion architecture to build scalable data platforms, Establish and maintain enterprise data catalogs using tools like Ataccama, Collibra, or Microsoft Purview, Implement data quality practices using tools like Great Expectations, Deequ, etc Work closely with the manufacturing and supply chain teams to understand domain-specific data requirements, Develop and maintain documentation for data solutions, data flows, and data models, Act as an individual contributor, picking up tasks from technical solution documents and delivering high-quality results, Qualifications: Bachelors degree in computer science, Information Technology, or a related field, Proven experience as a Data Engineer or similar role, In-depth knowledge of Databricks, Azure Data Factory, and Google Cloud, Strong data warehousing skills, including ETL processes, data modelling, and reporting, Familiarity with manufacturing and supply chain domains, Proficiency in data engineering, data product, data platform concepts, data mesh, and medallion architecture, Experience in establishing enterprise data catalogs using tools like Ataccama, Collibra, or Microsoft Purview, Proven experience in implementing data quality practices using tools like Great Expectations, Deequ, etc Excellent problem-solving and analytical skills, Strong communication and collaboration skills, Ability to work independently and as part of a team, Preferred Qualifications: Master's degree in a related field, Experience with cloud-based data platforms and tools, Certification in Databricks, Azure, or Google Cloud, As part of our total rewards philosophy, we believe in offering and maintaining competitive compensation and benefits programs for our employees to attract and retain a talented, highly engaged workforce Our compensation programs are focused on equitable, fair pay practices including market-based base pay, an annual pay-for-performance incentive plan, we offer a strong benefits package in each of the countries in which we operate, Advanced Energy is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans, and Individuals with Disabilities, We are committed to protecting and respecting your privacy We take your privacy seriously and will only use your personal information to administer your application in accordance with the RA No 10173 also known as the Data Privacy Act of 2012