Jr. Data Engineer

We need to output HTML fragment with sections only if real content. Use

for headings: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We need to parse the posting. We have Position Summary (could be About the role). Then Principle Responsibilities (Responsibilities). Then Credentials/Experience Qualification Requirements (maybe Requirements). Then Experience/Educational/Training Preferred (Qualifications). Then Knowledge, Skills, And Abilities (Skills). Then Other Requirements (maybe also part of Requirements or Skills). Then Work Environment, Physical Requirements, Travel Requirements (maybe not needed as separate sections unless they have content). The instruction: include a section ONLY when posting has real, specific content for it. So we can include About the role (position summary). Responsibilities (principle responsibilities). Requirements (credentials/experience qualification requirements). Qualifications (experience/educational/training preferred). Skills (knowledge, skills, abilities). Other Requirements maybe merge into Requirements or Skills? Could create a separate section "Other Requirements" but not in allowed headings list. Allowed headings are only those listed. So we must fit content into those headings. Could put Other Requirements under Requirements or Skills. Probably under Requirements. Benefits, Pay, Schedule: posting does not mention benefits, pay, schedule. So we should NOT include those sections. We must not repeat job title as heading. So no heading for Junior Data Engineer. We must not include Job ID etc. We must remove boilerplate: EEO, equal opportunity, etc. Also remove Work Environment, Physical Requirements, Travel Requirements? Those are not in allowed headings, but we could possibly omit them because they are not requested headings. The instruction: "Prefer a few substantive sections over many thin ones." So we can omit those if not matching allowed headings. So we will output sections: About the role, Responsibilities, Requirements, Qualifications, Skills. Now we need to preserve all substantive information, not invent or summarize away detail. Must keep details. We need to use

• for any list of duties/requirements/benefits, and

  for prose. We need to extract content. Let's parse. Position Summary paragraph(s): "Junior Data Engineer Position Summary The Junior Data Engineer will support the development and maintenance of Tecomet's analytics infrastructure and reporting processes to meet the information needs of the organization. This role works closely with senior members of the Data & Analytics team to help ensure our data is accurate, available, and actionable, empowering the organization to make informed decisions quickly. The Junior Data Engineer will build foundational skills across data engineering, ETL/ELT development, and business intelligence, with growing responsibility as experience is gained. The Junior Data Engineer will assist with configuring source connections, supporting data warehouse and pipeline maintenance, writing and troubleshooting SQL queries, and helping build and maintain Power BI datasets and reports under the guidance of senior data engineers. The ideal candidate is eager to learn, detail-oriented, and interested in developing hands-on experience with Azure cloud data services, Azure Data Factory (ADF), and enterprise BI tools in a regulated, ITAR/EAR manufacturing environment." We can put that as

  under About the role. Now Responsibilities: "Principle Responsibilities" then bullet-like sentences separated by periods. We need to make list items. List: - Assist in developing and maintaining Azure Data Factory (ADF) pipelines to extract, transform, and load data from source systems into the data warehouse, under senior engineer guidance. - Support the monitoring, troubleshooting, and basic maintenance of scheduled ETL/ELT jobs and data pipeline failures. - Help source, clean, and transform data from various systems (databases, SaaS applications, spreadsheets, APIs) in collaboration with senior team members and business stakeholders. - Write and troubleshoot SQL queries to support data validation, reporting, and ad hoc data requests. - Assist with basic performance tuning and data quality checks within Azure SQL Database and other Azure-hosted data stores. - Help maintain and update Business Intelligence documentation and the data dictionary. - Respond to routine end-user questions and support requests related to Power BI reports and datasets. - Work with senior engineers and business stakeholders to gather and document basic reporting requirements. - Participate in team meetings, knowledge-sharing sessions, and training to build technical and business domain knowledge. - Stay current on foundational data engineering and BI tools and techniques. - Assist in identifying opportunities to automate recurring, manual reporting tasks. - Support continuous improvement of data integrity, documentation, and reporting processes. We need to ensure we keep all details. Now Requirements: "Credentials/Experience Qualification Requirements" then list: - 0-2 years of experience in a Data Engineer, Data Analyst, BI Developer, or related technical role; internship or academic project experience considered. - Some hands-on exposure to Azure database services (e.g., Azure SQL Database, Azure SQL Managed Instance, or Azure Synapse) is required. - Basic understanding of integrating Power BI with data sources such as SQL Server, Excel, or cloud-based databases is a plus. We could also include "Other Requirements" items: Demonstrated ability to use discretion and sensitivity when handling confidential information; Strong organizational skills; Verbal and written communication and listening skills; Problem solving and evaluation; Good interpersonal skills; Coachable and receptive to feedback; Ability to prioritize and multitask. These could go under Requirements as well. Now Qualifications: "Experience/Educational/Training Preferred" then: - Bachelor's degree in Information Systems, Computer Science, or a related field (or equivalent combination of education and relevant experience). - Exposure to or coursework/project experience with Azure Data Factory (ADF), or a strong willingness and aptitude to quickly learn ADF pipeline development, is required. Now Skills: "Knowledge, Skills, And Abilities" then: - Working knowledge of SQL for querying and extracting data from relational databases. - Foundational understanding of data warehousing concepts and ETL/ELT processes. - Basic familiarity with Azure Data Factory (ADF) pipelines, datasets, and linked services, or comparable cloud ETL tooling. - Familiarity with Azure-hosted database platforms (e.g., Azure SQL Database) and general cloud data storage concepts. - Good analytical skills and attention to detail, with a developing ability to interpret data and communicate findings clearly. - Familiarity with agile development methodologies and tools such as Jira and GitHub is a plus. - Exposure to Power Automate, PowerApps, dbt, or Python is a plus, but not required. - Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams and senior team members. - Eagerness to learn, take direction, and grow technical skills within a structured, regulated (ITAR/EAR) enterprise environment. - Ability to prioritize tasks and manage time across multiple assignments in a fast-paced environment. Now we need to output HTML fragment with headings

  and content. We must not include any extra text. We'll produce:

  About the role

  ...

  Responsibilities

  • ...
  ...

  Requirements

  • ...
  ...

  Qualifications

  • ...
  ...

  Skills

  • ...
  ...
  Make sure to preserve all details exactly as in posting, but we can rephrase slightly? The instruction: "Preserve ALL substantive information; do NOT invent or summarize away detail." So we should not change meaning; we can keep same wording but maybe adjust punctuation for list items. It's okay to keep same sentences. We need to ensure we don't include boilerplate like "Equal opportunity employer" etc. We omitted those. Now check for any mention of benefits/pay/schedule: none. Now produce final HTML. Let's craft. About the role paragraph: combine sentences. I'll copy the summary exactly as given but ensure it's a single paragraph. "Junior Data Engineer Position Summary The Junior Data Engineer will support the development and maintenance of Tecomet's analytics infrastructure and reporting processes to meet the information needs of the organization. This role works closely with senior members of the Data & Analytics team to help ensure our data is accurate, available, and actionable, empowering the organization to make informed decisions quickly. The Junior Data Engineer will build foundational skills across data engineering, ETL/ELT development, and business intelligence, with growing responsibility as experience is gained. The Junior Data Engineer will assist with configuring source connections, supporting data warehouse and pipeline maintenance, writing and troubleshooting SQL queries, and helping build and maintain Power BI datasets and reports under the guidance of senior data engineers. The ideal candidate is eager to learn, detail-oriented, and interested in developing hands-on experience with Azure cloud data services, Azure Data Factory (ADF), and enterprise BI tools in a regulated, ITAR/EAR manufacturing environment." That's fine. Now Responsibilities list items: need to keep exactly as in posting. Let's extract each bullet from "Principle Responsibilities" section. Original text: "Principle Responsibilities Data Pipeline & Warehouse Support:Assist in developing and maintaining Azure Data Factory (ADF) pipelines to extract, transform, and load data from source systems into the data warehouse, under senior engineer guidance.Support the monitoring, troubleshooting, and basic maintenance of scheduled ETL/ELT jobs and data pipeline failures.Help source, clean, and transform data from various systems (databases, SaaS applications, spreadsheets, APIs) in collaboration with senior team members and business stakeholders.Write and troubleshoot SQL queries to support data validation, reporting, and ad hoc data requests.Assist with basic performance tuning and data quality checks within Azure SQL Database and other Azure-hosted data stores.Help maintain and update Business Intelligence documentation and the data dictionary.Collaboration & Support:Respond to routine end-user questions and support requests related to Power BI reports and datasets.Work with senior engineers and business stakeholders to gather and document basic reporting requirements.Participate in team meetings, knowledge-sharing sessions, and training to build technical and business domain knowledge.Continuous Improvement:Stay current on foundational data engineering and BI tools and techniques.Assist in identifying opportunities to automate recurring, manual reporting tasks.Support continuous improvement of data integrity, documentation, and reporting processes." We need to split into items. I'll create list items as sentences. Now Requirements list: "Credentials/Experience Qualification Requirements 0-2 years of experience in a Data Engineer, Data Analyst, BI Developer, or related technical role; internship or academic project experience considered.Some hands-on exposure to Azure database services (e.g., Azure SQL Database, Azure SQL Managed Instance, or Azure Synapse) is required.Basic understanding of integrating Power BI with data sources such as SQL Server, Excel, or cloud-based databases is a plus." Also "Other Requirements" items: "Demonstrated ability to use discretion and sensitivity when handling confidential information.Strong organizational skills.Verbal and written communication and listening skills.Problem solving and evaluation.Good interpersonal skills.Coachable and receptive to feedback.Ability to prioritize and multitask" We'll include those under Requirements as well. Now Qualifications list: "Experience/Educational/Training Preferred Bachelor's degree in Information Systems, Computer Science, or a related field (or equivalent combination of education and relevant experience).Exposure to or coursework/project experience with Azure Data Factory (ADF), or a strong willingness and aptitude to quickly learn ADF pipeline development, is required." Now Skills list: "Knowledge, Skills, And Abilities Working knowledge of SQL for querying and extracting data from relational databases.Foundational understanding of data warehousing concepts and ETL/ELT processes.Basic familiarity with Azure Data Factory (ADF) pipelines, datasets, and linked services, or comparable cloud ETL tooling.Familiarity with Azure-hosted database platforms (e.g., Azure SQL Database) and general cloud data storage concepts.Good analytical skills and attention to detail, with a developing ability to interpret data and communicate findings clearly.Familiarity with agile development methodologies and tools such as Jira and GitHub is a plus.Exposure to Power Automate, PowerApps, dbt, or Python is a plus, but not required.Strong communication and collaboration skills, with the ability to work effectively with cross