Data Engineer - AWS

We need to output HTML fragment with sections: headings

for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections that have real specific content. The posting includes: introductory paragraph about team, then "Work you'll do" with bullet-like sentences (but not bullet list). Then "A successful candidate would possess these skills:" list of skills. Then "The team" description. Then "Qualifications Required:" list. Then "Preferred:" list. We need to map to sections: About the role (intro), Responsibilities (Work you'll do), Skills (list of skills), Qualifications (Qualifications Required), maybe Preferred as part of Qualifications? Could be separate but we can include under Qualifications or separate. The instruction: prefer few substantive sections over many thin ones. So we could combine Qualifications and Preferred into one Qualifications section. Also we have a description of the team maybe as About the role or Overview. We'll have sections: About the role (intro + team description), Responsibilities (Work you'll do), Skills (list), Qualifications (required + preferred). No Benefits, Pay, Schedule as not present. We must not repeat job title. No metadata like Job ID. Remove boilerplate. We need to preserve all substantive info. Use

• for any list of duties/requirements/benefits. For prose use

  . For section headings use

  . We need to ensure we don't invent content. Let's extract content: Intro paragraph: "Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements." Then "Work you'll do As a Data Engineer III on the AI & Data team, you will be responsible for driving technology-focused client delivery across complex engagements. Deliver client engagements focused onManage day-to-day interactions with client stakeholders and sponsors, acting as the primary technical point of contact for your workstreamsLead teams through business requirements gathering, functional design, process mapping, and support-model definition, providing technical direction throughoutDevelop and maintain project scope, schedule, and resource plans for your workstream, and adjust them as engagement needs evolveMaintain clear, consistent communication with client stakeholders and internal engagement leadership" Note there is missing punctuation; but we keep as is. Then "A successful candidate would possess these skills: Ability to work independently and collaborate as part of a teamEffective written and verbal communication skillsMeticulous attention to detail and quality of work productAbility to build and sustain professional relationshipsAbility to lead projects or workstreamsAbility to manage and prioritize multiple tasks in a fast-paced and dynamic environmentStrong interpersonal skills and professional demeanorAbility to meet deadlinesAbility to mentor and provide clear guidance to others" Then "The team Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively." Then "Qualifications Required: 8+ years relevant technology consulting experience in cloud modernization, data engineering and business intelligence3+ years of experience with AWS-based data lakes, data warehouses, analytics platforms, and operational data stores3+ years of experience with AWS data services, including AWS Glue, EMR, S3, Athena, Redshift, RDS, Lambda, or Step Functions5+ years hand-on experience with Python, PySpark, SQL, PL/SQL2+ years of experience leading, managing, and delivering workstreams or small teams with complex technical engagements with resources in multiple locationsBachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related fieldAbility to travel 50%, on average, based on the work you do and the clients and industries/sectors you serveLimited immigration sponsorship may be available" Then "Preferred: Experience in creating critical collaterals for client workshops and customer interactive sessionsExperience presenting technical content to both large and small audiences" We need to split into list items. For responsibilities, we have a paragraph with multiple sentences but no bullet. We could treat each sentence as list item? The instruction: Use

  • for any list of duties/requirements/benefits. The responsibilities are a list of duties; we can split into items. Similarly skills list: each ability separated by no punctuation; we need to split. Qualifications: each requirement separated; we can split. We need to be careful not to invent content; we just need to parse the given text into sensible items. The text lacks punctuation; we can infer splits by capital letters or keywords. Let's attempt. Responsibilities sentences: - Manage day-to-day interactions with client stakeholders and sponsors, acting as the primary technical point of contact for your workstreams - Lead teams through business requirements gathering, functional design, process mapping, and support-model definition, providing technical direction throughout - Develop and maintain project scope, schedule, and resource plans for your workstream, and adjust them as engagement needs evolve - Maintain clear, consistent communication with client stakeholders and internal engagement leadership Also preceding sentence: "Deliver client engagements focused on" seems incomplete; maybe it's a heading. We'll ignore incomplete. Skills list: each starts with Ability or Effective etc. Let's split: - Ability to work independently and collaborate as part of a team - Effective written and verbal communication skills - Meticulous attention to detail and quality of work product - Ability to build and sustain professional relationships - Ability to lead projects or workstreams - Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment - Strong interpersonal skills and professional demeanor - Ability to meet deadlines - Ability to mentor and provide clear guidance to others Qualifications Required list: each starts with a number+ years or Bachelor's etc. - 8+ years relevant technology consulting experience in cloud modernization, data engineering and business intelligence - 3+ years of experience with AWS-based data lakes, data warehouses, analytics platforms, and operational data stores - 3+ years of experience with AWS data services, including AWS Glue, EMR, S3, Athena, Redshift, RDS, Lambda, or Step Functions - 5+ years hand-on experience with Python, PySpark, SQL, PL/SQL - 2+ years of experience leading, managing, and delivering workstreams or small teams with complex technical engagements with resources in multiple locations - Bachelor's or Master's degree in Computer Science, Engineering, Data Science, AI, or related field - Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve - Limited immigration sponsorship may be available Preferred list: - Experience in creating critical collaterals for client workshops and customer interactive sessions - Experience presenting technical content to both large and small audiences Now sections: About the role: combine intro paragraph and team description? Could be two paragraphs. We'll put intro as

    and team description as another

    under same section? But we need heading

    About the role

    then paragraphs. Responsibilities:

    Responsibilities

    then
    • ... Skills:

      Skills

      then
      • ... Qualifications:

        Qualifications

        then
        • ... include both required and preferred? Could separate but we can combine; but we might want to separate Required and Preferred as subheadings? Not allowed to create extra headings unless specified. We could keep as one list with all items; but we need to preserve distinction? The instruction: preserve ALL substantive information; do not invent or summarize away detail. If we combine required and preferred into one list, we lose the distinction that some are preferred. That's summarizing away detail. Better to have two subsections? But we cannot create headings unless they correspond to actual sections in posting. The posting has "Qualifications Required:" and "Preferred:" as subheadings. We could treat them as separate sections: Qualifications and Preferred. But the instruction says use headings for section headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. It didn't list Preferred as a standard heading, but we could still use

          Preferred

          if the posting has real content for it. The instruction: "include a section ONLY when the posting has real, specific content for it — never emit a heading followed by filler/placeholder text". So we can have a Preferred section. However the list of allowed headings in the instruction is not exhaustive; they gave examples. So we can add Preferred heading. Thus we will have sections: About the role, Responsibilities, Skills, Qualifications, Preferred. We must not include Requirements (since not used). We'll use Qualifications for required, Preferred for preferred. Now produce HTML fragment. Let's craft:

          About the role

          Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

          The team Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

          But note the team paragraph currently missing space after "The team". We'll keep as is but maybe add a space: "The team Our AI & Data practice..." We'll keep original text but we can add a space for readability; not altering meaning. Probably fine. Now Responsibilities:

          Responsibilities

          • Manage day-to-day interactions with client stakeholders and sponsors, acting as the primary technical point of contact for your workstreams
          • Lead teams through business requirements gathering, functional design, process mapping, and support-model definition, providing technical direction throughout
          • Develop and maintain project scope, schedule, and resource plans for your workstream, and adjust them as engagement needs evolve
          • Maintain clear, consistent communication with client stakeholders and internal engagement leadership
          Skills:

          Skills

          • Ability to work independently and collaborate as part of a team
          • Effective written and verbal communication skills
          • Meticulous attention to detail and quality of work product
          • Ability to build and sustain professional relationships
          • Ability to lead projects or workstreams
          • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
          • Strong interpersonal skills and professional demeanor
          • Ability to meet deadlines
          • Ability to mentor and provide clear guidance to others
          Qualifications:

          Qualifications

          • 8+ years relevant