data solutions engineer

Travelers

<div>
 <strong>
  Who Are We?
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 Taking care of our customers, our communities and each other. That&rsquo;s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.
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 <strong>
  Compensation Overview
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 </strong>
 The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.
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  Salary Range
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 $109,300.00 - $180,200.00
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  Target Openings
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 </strong>
 1
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 <strong>
  What Is the Opportunity?
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 </strong>
 Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Data Engineer, you will play a key role in growing and transforming our analytics landscape. In addition to your strong analytical mind, you will bring your inquisitive attitude and ability to translate the stories found in data. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights. Applicants must be authorized to work for ANY employer in the U.S. The company does not sponsor/support H-1B petitions, TN, or Forms I-983/STEM OPT, for this role.
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 <strong>
  What Will You Do?
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 <ul>
  <li>
   Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.
  </li>
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   Design data solutions.
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   Analyze sources to determine value and recommend data to include in analytical processes.
  </li>
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   Incorporate core data management competencies including data governance, data security and data quality.
  </li>
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   Collaborate within and across teams to support delivery and educate end users on data products/analytic environment.
  </li>
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   Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate.
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   Test data movement, transformation code, and data components.
  </li>
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   Perform other duties as assigned.
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  </li>
 </ul>
 <strong>
  What Will Our Ideal Candidate Have?
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 <ul>
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   Bachelor&rsquo;s Degree in STEM related field or equivalent.
  </li>
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   Six years of related experience.
  </li>
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   Hands-on experience building data pipelines using AWS Services (S3, Lambda, IAM) and Databricks.
  </li>
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   Hands-on experience programming and development experience with Python and PySpark.
  </li>
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   Experience with ETL development in data lake and data warehouse (preferably Snowflake).
  </li>
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   Experience with data streaming platforms (e.g., Confluent, Apache Kafka) is a plus
  </li>
  <li>
   Proficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and an understanding of software engineering practices.
  </li>
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   The ability to deliver work at a steady, predictable pace to achieve commitments, decompose work assignments into small batch releases, and contribute to tradeoff and negotiation discussions.
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   Demonstrated track record of domain expertise including the ability to understand technical concepts and possess in-depth knowledge of immediate systems worked on.
  </li>
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   Proven problem solving skills including debugging skills, allowing you to determine source of issues in unfamiliar code or systems and the ability to recognize and solve repetitive problems.
  </li>
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   Strong verbal and written communication skills with the ability to interact with team members and business partners.
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   Leadership - Intermediate leadership skills with a proven track record of self-motivation in identifying personal growth opportunities.
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  What is a Must Have?
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 <ul>
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   Bachelor&rsquo;s degree in computer science, related STEM field, or its equivalent in education and/or work experience.
  </li>
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   2 additional years of software/data engineering experience.
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  </li>
 </ul>
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  What Is in It for You?
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 <ul>
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   Health Insurance: Employees and their eligible family members &ndash; including spouses, domestic partners, and children &ndash; are eligible for coverage from the first day of employment.
  </li>
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   Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.
  </li>
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   Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.
  </li>
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   Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.
  </li>
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   Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.
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  </li>
 </ul>
 <strong>
  Employment Practices
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  <br/>
 </strong>
 Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.
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 In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.
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 If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you.
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 Travelers reserves the right to fill this position at a level above or below the level included in this posting.
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 <br/>
 To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/.
</div>


Data Engineer I (AWS, Databricks, PySpark)

AmeriSave Mortgage

<div><div>AmeriSave Mortgage is a leading online mortgage lender, dedicated to simplifying the mortgage process and empowering homeowners with fast, transparent, and competitively priced loans. In addition to helping customers achieve the dream of homeownership, we also assist them with refinancing existing mortgages and securing home equity loans. Through our innovative technology and customer-centric focus, we strive to make home financing more accessible and tailored to individual needs.</div><div>
</div><div><b>
Position Overview</b></div><div>
The Capital Markets Technology Engineer will support capital markets demands to enable easy access to data and to help implement solutions that will streamline processes and standardize information flow so it is uniform with the rest of the organization. The role requires a robust knowledge of the risks associated with compliance and working to solve for the complexity of Investor, State and Federal rules implementation and how we audit for risks.</div><div>
</div><div><b>
What You&rsquo;ll Do:</b></div><ul><li>
Deploy code to enhance the tools used by Capital Markets to improve line of sight to risks (such as CUBE enhancements) including monthly reconciliation of variance for Gain on Sale.
</li><li>Create a framework of governance and controls that we can automate to minimize the number of checks we are deploying each day, leveraging computing power vs human power.
</li><li>Ensure any system changes made within Capital Markets are integrated in a uniform manner throughout the organization.
</li><li>Build on the framework of the existing CUBE technology and migrate this to a Fabric platform. The goal is to have a real time data layer that allows us to have a responsive intuitive data set that can be interacted with by users with basic systems knowledge.
</li><li>Take on additional tasks as assigned from the technology team as appropriate to meet overall company objectives, this may include performing tasks for other departments or for audit reasons etc.
</li><li>Maintain our competitive edge in technology by evaluating options for technology expansion and improving on current use of tools - What new methods or tech can we deploy to allow us to more easily manage the risks in the position.
</li><li>Automation task force: Participate as Capital Markets representative in the ATF that will focus on automation initiatives with emphasis on reducing workload to expand capacity and reduce error rate.
</li><li>Investor integration: Serve as lead person on the tech side to correctly get all the new investor elements such as program codes etc assigned.
</li><li>Provide guidance on how we integrate the elements of business process management into our data so we can analyze and help aggregate it (i.e. a date is useless but a date grouped by month is helpful). This includes the tools necessary to support Daily P/L reporting that will enable our understanding of fair market value vs shift in mix exposures.
</li><li>Develop and lead an adaptive, innovative and future-looking analytics organization that includes agile and measurable insights that drive business results.</li><li>
Partner with business leaders to proactively determine how data and insights can better advise and support their goals.</li><li>
Contribute to the overall corporate strategy by instituting industry leading approaches, methodologies and technologies to leveraging data and making informed decisions.</li></ul><p><b>
What You&rsquo;ll Need:</b>
</p><ul><li>Basic Knowledge of mortgage origination is required but preferably well skilled at knowing key metrics a mortgage capital markets function would be evaluating.
</li><li>5+ years of professional experience in corporate business intelligence, data solutions or data strategy roles, preferably within TV, Entertainment, Media, Sports or Mortgage industries.
</li><li>MBA and/or advanced degree in business intelligence or related field of study is preferred.</li><li>
Demonstrable experience leading and implementing ambitious and innovative data strategies.</li><li>
Experience and high comfort level working in environments that require both &ldquo;real time&rdquo; and longer-cycle reporting and insights.</li><li>
Proven understanding of both quantitative tracking and research methodologies.</li><li>
The highest standards of integrity aligned with what we value.</li><li>
High-speed internet required for remote work, Cable or Fiber ONLY with the ability to connect via Ethernet. Minimum speeds: 70/30 Mbps (basic), 200-300/35-70 Mbps (shared), 500-1,000/100+ Mbps (heavy use).</li><li>
Knowledge of Python and SQL core programming skills to extract and retrieve data are a requirement and knowing how to leverage AI to enhance those core skills is a plus. Be ready to explain an example of how you have leveraged AI to improve process.
</li></ul><div>
</div><div>**Please note that the compensation and benefit information that follows is a good faith estimate for this position only and is provided pursuant to applicable state and local laws on pay transparency. It is estimated based on what a successful applicant in the relevant state might be paid. **</div><div>
</div><div>Compensation:</div><div>
The annual compensation for this position generally ranges between $95,000 - $135,000 commensurate with experience.</div><div>
</div><div>
Benefits:</div><ul><li>401(k)</li><li>Dental insurance</li><li>Disability insurance</li><li>Employee discounts</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>12 paid holidays per year</li><li>Paid training</li><li>Referral program</li><li>Vision insurance</li></ul><div>
</div><div>Supplemental pay types:</div><ul><li>Referral bonuses</li></ul><div>
</div><div>AmeriSave is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.<br>
</div><div><b>
California Consumer Privacy Act Disclosure Acknowledgment</b></div><div><i>
Employment Applicants, New Hires, and Employees Residing in California</i></div><div>
</div><div><b>AmeriSave Mortgage Corporation&rsquo;s Privacy Policy Statement (&ldquo;Policy&rdquo;) can be reviewed here: </b><b>www.amerisave.com/privacy-policy</b></div></div>

Capital Markets Technology Engineer

Ascendion

<div><div><p><b>About Ascendion
</b></p><p>Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.
</p><p><b>Ascendion | Engineering to elevate life
</b></p><ul><li>We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:
</li><li>Build the coolest tech for the world&rsquo;s leading brands
</li><li>Solve complex problems &ndash; and learn new skills
</li><li>Experience the power of transforming digital engineering for Fortune 500 clients
</li><li>Master your craft with leading training programs and hands-on experience
</li><li>Experience a community of change makers!
</li></ul><p>Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.
</p><p><b>About the Role:
</b></p><p><b>Job Title: </b>Data Engineer
</p><p><b>Job Overview:
</b></p><p>We are looking for a skilled Data Engineer with strong experience in Python, GenAI/LLM technologies, and modern cloud-based data platforms. The ideal candidate will have hands-on expertise in building scalable data pipelines, working with large datasets, integrating AI/LLM frameworks, and developing data solutions using AWS and big data technologies. This role requires experience with both batch and real-time data processing, along with strong knowledge of databases, workflow orchestration, and vector database/RAG concepts.
</p><p><b>Key Responsibilities
</b></p><ul><li>Design, develop, and maintain scalable ETL/ELT and data pipeline solutions
</li><li>Build and optimize batch and real-time data processing systems
</li><li>Develop GenAI/LLM-powered applications using frameworks such as LangChain or LangGraph
</li><li>Implement RAG architectures and manage vector database indexing solutions
</li><li>Work with structured and unstructured data across multiple database technologies
</li><li>Integrate and manage big data solutions using Spark, Kafka, and cloud-native tools
</li><li>Create and maintain workflow orchestration pipelines using Apache Airflow
</li><li>Collaborate with cross-functional teams including Data Engineering, AI/ML, and Cloud teams
</li><li>Ensure data quality, scalability, security, and performance across data platforms
</li><li>Utilize AWS services such as S3, Glue, and Redshift for cloud-based data solutions
</li><li>Support and optimize data platforms like Databricks and Snowflake for analytics and AI use cases
</li></ul><p><b>Required Qualifications
</b></p><ul><li>Strong programming experience in Python
</li><li>Hands-on experience with GenAI/LLMs such as OpenAI or similar models
</li><li>Experience with LLM application frameworks like LangChain or LangGraph
</li><li>Understanding of RAG (Retrieval-Augmented Generation) concepts and Vector Database indexing
</li><li>Strong knowledge of SQL, Relational Databases, PostgreSQL, NoSQL, and MPP databases
</li><li>Experience building ETL/ELT pipelines and data processing workflows
</li><li>Hands-on experience with batch and real-time data processing
</li><li>Experience with Apache Spark and Apache Kafka
</li><li>Workflow orchestration experience using Apache Airflow
</li><li>Experience with Databricks or Snowflake data platforms
</li><li>Strong AWS experience including S3, Glue, Redshift, and secure cloud data pipelines
</li></ul><p><b>Location: </b>Plano, TX (Onsite role)
</p><p><b>Salary and Other Compensation: </b>The annual [salary/hourly rate] for this position is between [$90,000&ndash; 100,000 annually]/[$50.00- $55.00 per hour]. Factors which may affect pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.
</p><p><b>Benefits: </b>The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State] [10-15 days of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year]
</p><p><b>Want to change the world? Let us know.
</b></p><p>Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let&rsquo;s talk!</p></div></div><div></div>
<br><div><div><h4 class="jobSectionHeader"><b>Preferred Skills
</b></h4><div><div>AWS
<ul><li><div>Python
</div></li><li><div>SQL AWS
</div></li><li><div>SQL
</div></li><li><div>AI/ML
</div></li></ul></div></div></div><div><h4 class="jobSectionHeader"><b>Job details
</b></h4><div><div><h6 class="jobSectionHeader"><b>Job ID
</b></h6><p>332142
</p></div><div><h6 class="jobSectionHeader"><b>Job Requirements
</b></h6><p>Data Engineer
</p></div><div><h6 class="jobSectionHeader"><b>Location
</b></h6><p>Plano, Texas, US
</p></div><div><h6 class="jobSectionHeader"><b>Recruiter
</b></h6><p>Rahul
</p></div><div><h6 class="jobSectionHeader"><b>Email
</b></h6><p>rahul.mandal@ascendion.com
</p></div></div></div><div><h4 class="jobSectionHeader"><b>About Ascendion
</b></h4><div><h6 class="jobSectionHeader"><b>Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees.
</b></h6><p>Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.</p></div></div></div>

Data Engineer

PROZ TECHNOLOGIES

<p>Hello,<br/>Greetings from Proztec Qatar! I hope everything is going well with you.</p><p><b>JOB DESCRIPTION</b></p><p>The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and architectures to support data processing and analytics. The role focuses on handling large datasets, ensuring data quality, and enabling seamless integration across systems. The engineer will work closely with data analysts, data scientists, and business teams to deliver reliable and efficient data solutions.</p><p><b>DUTIES &amp; RESPONSIBILITIES</b></p><ul><li>Design, build, and maintain scalable ETL/ELT data pipelines</li><li>Process and manage large volumes of structured and unstructured data</li><li>Develop and optimize SQL queries for data extraction and transformation</li><li>Ensure data quality, integrity, and consistency across systems</li><li>Integrate data from multiple sources including APIs, databases, and cloud platforms</li><li>Monitor and troubleshoot data pipeline performance issues</li><li>Collaborate with data analysts and data scientists to support analytics and reporting needs</li><li>Implement data governance and security best practices</li><li>Maintain documentation for data flows, models, and pipelines</li><li>Optimize data storage and processing for performance and cost efficiency</li></ul><p><b>SKILLS &amp; ABILITIES</b></p><ul><li>Strong experience in SQL and database management</li><li>Hands-on experience with ETL/ELT processes and tools</li><li>Proficiency in Python for data processing and automation</li><li>Knowledge of Big Data technologies (e.g., Hadoop, Spark)</li><li>Experience with cloud data platforms (AWS, Azure, or GCP)</li><li>Strong problem-solving and analytical skills</li></ul><p><b>POTENTIAL BACKGROUND</b></p><ul><li>Minimum <b>4+ years of experience</b> in Data Engineering</li><li>Experience handling large-scale data processing and pipelines</li><li>Exposure to enterprise data architecture and analytics environments</li><li>Experience working with cloud-based data solutions is a plus</li></ul><p><b>CERTIFICATIONS (MANDATORY/PREFERRED)</b></p><ul><li>Google Professional Data Engineer &ndash; Preferred</li><li>Azure Data Engineer Associate &ndash; Preferred</li><li>AWS Data Analytics Certification &ndash; Preferred</li></ul><p><b>LANGUAGE REQUIREMENT</b></p><ul><li>Arabic or Non-Arabic Speaker</li></ul><p><b>WORK LOCATION</b></p><ul><li>Onshore &amp; Offshore</li></ul><p><b>SOFT SKILLS</b></p><ul><li>Strong analytical and problem-solving abilities</li><li>Good communication and collaboration skills</li><li>Attention to detail and data accuracy</li><li>Ability to manage multiple tasks and deadlines</li><li>Proactive and solution-oriented mindset</li></ul><p>If you&rsquo;re interested or have relevant experience, feel free to share your updated CV.</p><p>Job Type: Full-time</p><p>Pay: QAR15,000.00 - QAR18,000.00 per month</p><p>Work Location: In person</p>

Advansys ME

INTRO Technology is a leading technology solutions & digital transformation Group based in the UAE. INTRO Technology was founded in 1999 as the Technology arm of INTRO Holding. It operates through its well-integrated subsidiaries providing cutting-edge industrial automation, cloud solutions, Internet of Things (IoT) technologies, and digital transformation services to the global market with a particular focus on North America, Europe, the Middle East & Africa. With over 950 skilled talents, serving 100+ enterprise customers across 24 countries.
<br><br>
Requirements
<br><br>
Here’s a look at some of the exciting roles we offer at Intro Technology Group, giving you a clear idea of the diverse opportunities available to kick-start your career:
<br><br>
Software Testing
<br>Senior Automation Tester
<br>Performance Testing QA Engineer
<br>Big Data Engineer
<br>NodeJS Developer
<br>RAID Support Engineer
<br>Revit API Developer - BIM
<br>Controls Engineer - Allen Bradley PLC
<br>Frontend Developer (React)
<br>Cybersecurity - Penetration Tester
<br>Travel Specialist - Visa Processing
<br>RPA Business Analyst
<br>Project Manager
<br>Integration Engineer
<br>Java Developer
<br>Database Developer
<br>Integration Engineer
<br>Machine Learning Engineer
<br>Junior SecOps Engineer
<br><br>
You’re just one step away from unlocking new opportunities.
<br>Complete your application now and take your first step toward joining the Intro Technology team!
<br><br>
Benefits
<br>Hybrid working model
<br>Social and medical insurance
<br>Transportation

AUC Employment Fair 2026

NTT DATA

<b>Req ID:</b> 366997
<br><br>
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
<br><br>
We are currently seeking a Azure Cloud Engineer to join our team in Richmond, Virginia (US-VA), United States (US).
<br><br>
Azure Cloud Engineer
<br><br>
NTT Data is seeking a highly capable Azure Cloud Engineer with at least 5 years of hands-on experience designing, deploying, automating, and supporting Microsoft Azure environments. This role requires a well-rounded engineer with strong expertise across Infrastructure as Code (IaC), IaaS, PaaS, and SaaS, and the ability to work across infrastructure, platform services, security, automation, and operational support.
<br><br>
The ideal candidate will have deep technical knowledge of Azure services, strong scripting and automation skills, and a proven ability to build scalable, secure, and reliable cloud solutions. This individual should be comfortable working independently and collaboratively, supporting both project-based implementations and day-to-day cloud operations.
<br><br>
Key Responsibilities
<br><br>
<ul>
<li>Design, deploy, configure, and support cloud solutions in Microsoft Azure</li>
<li>Build and maintain Infrastructure as Code (IaC) using tools such as Terraform, Bicep, ARM templates, or similar</li>
<li>Engineer, manage, and optimize Azure IaaS services including virtual machines, networking, storage, backup, and disaster recovery</li>
<li>Implement and support Azure PaaS services such as App Services, Azure SQL, Key Vault, Functions, API Management, Logic Apps, and storage services</li>
<li>Administer and integrate Azure-related SaaS offerings including Azure AD/Entra ID, and other enterprise cloud applications as needed</li>
<li>Design and manage Azure networking components including VNets, NSGs, Load Balancers, Application Gateways, VPNs, ExpressRoute, DNS, and firewalls</li>
<li>Implement identity and access management using Microsoft Entra ID (Azure AD), RBAC, conditional access, and privileged access controls</li>
<li>Support CI/CD pipelines and cloud automation for repeatable, secure, and efficient deployments</li>
<li>Monitor system performance, availability, cost, and security posture using Azure-native and third-party tools</li>
<li>Troubleshoot issues across compute, storage, networking, identity, security, and application hosting layers</li>
<li>Ensure cloud environments align with organizational standards for security, governance, compliance, and operational excellence</li>
<li>Collaborate with architects, developers, security teams, and business stakeholders to deliver cloud solutions that meet technical and operational requirements</li>
<li>Develop and maintain technical documentation, diagrams, standards, and operational procedures</li>
<li>Provide support for cloud migration, modernization, optimization, and continuous improvement initiatives</li>
</ul>
Required Qualifications
<br><br>
<ul>
<li>5+ years of experience working as an Azure Engineer, Cloud Engineer, Systems Engineer.</li>
<li>3+ years of experience with Microsoft Azure across infrastructure and platform services</li>
<li>Experience implementing Infrastructure as Code</li>
<li>Experience supporting IaaS, PaaS, and SaaS solutions in Azure environments</li>
<li>Experience with Azure compute, storage, networking, monitoring, backup, and identity services</li>
<li>Experience with Azure governance, security, and best practices</li>
<li>Experience with scripting and automation using PowerShell, Bash, Python, or similar</li>
<li>Experience with CI/CD tools such as Azure DevOps, GitHub Actions, or equivalent</li>
</ul>
Required Certifications
<br><br>
Candidates must hold active Azure certifications, preferably including one or more of the following:
<br><ul>
<li>Microsoft Certified: Azure Administrator Associate</li>
<li>Microsoft Certified: Azure Solutions Architect Expert</li>
<li>Microsoft Certified: Azure Security Engineer Associate</li>
<li>Microsoft Certified: Azure Network Engineer Associate</li>
<li>Other relevant Microsoft Azure certifications may also be considered</li>
</ul>
Preferred Qualifications
<br><br>
<ul>
<li>Experience with hybrid cloud or multi-cloud environments</li>
<li>Experience with security hardening, compliance frameworks, and governance policies</li>
<li>Experience with backup, disaster recovery, and business continuity planning</li>
<li>Familiarity with Kubernetes, containers, and Azure Kubernetes Service (AKS)</li>
<li>Experience supporting enterprise-scale Azure environments</li>
<li>Experience with cost optimization and Azure resource management</li>
<li>Familiarity with ITSM, DevSecOps, and cloud operational support models</li>
<li>Strong troubleshooting, analytical, and problem-solving skills</li>
<li>Ability to work across multiple disciplines and function as a well-rounded cloud engineer</li>
<li>Strong verbal and written communication skills</li>
<li>With at least 5 years of hands-on experience designing, deploying, automating, and supporting Microsoft Azure environments. This role requires a well-rounded engineer with strong expertise across Infrastructure as Code (IaC), IaaS, PaaS, and SaaS, and the ability to work across infrastructure, platform services, security, automation, and operational support.</li>
<li>The ideal candidate will have deep technical knowledge of Azure services, strong scripting and automation skills, and a proven ability to build scalable, secure, and reliable cloud solutions. This individual should be comfortable working independently and collaboratively, supporting both project-based implementations and day-to-day cloud operations.</li>
</ul>
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $94,736 – $ 150,525. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and ADD insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.
<br><br>
About NTT DATA
<br><br>
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in RD.
<br><br>
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
<br><br>
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Azure Cloud Engineer

Jazz

<div>
 <p>
  <strong>
   Grade Level:
  </strong>
  &nbsp;L2
  <br/>
  <br/>
  <strong>
   Location:
  </strong>
  &nbsp;Islamabad
  <br/>
 </p>
 <p>
  <strong>
   What is Intermediate Analytics Engineer - Teknosys?
  </strong>
 </p>
 <p>
  We are looking for someone who has a strong analytical mindset with problem-solving aptitude. The ideal candidate will be entrepreneurial, truthful, innovative, collaborative and customer-focused, and must demonstrate these abilities from previous experiences. You need to have relevant experience in the Data Analytics domain and have experience with Agile methodologies.
 </p>
 <p>
  <strong>
   What does Intermediate Analytics Engineer - Teknosys do?
  </strong>
 </p>
 <ul>
  <li>
   Identify the improvement areas in Data Analytics and propose solutions to fill those gaps
  </li>
  <li>
   Build and maintain data analytics solutions to meet the analytical requirements of the company
  </li>
  <li>
   Deliver on the practice backlog, to improve standards and learning within the team
  </li>
  <li>
   Deliver on the functional backlog across the value chain, from Operations to Development to Reporting and Program Management
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <p>
  <strong>
   What are we looking for and what does it require to be Intermediate Analytics Engineer - Teknosys?
  </strong>
 </p>
 <ul>
  <li>
   Minimum 4-7 years of experience in Data Analytics domain
  </li>
  <li>
   Experience working in agile environment
  </li>
  <li>
   Hands on knowledge of Data Lake and Data Warehousing
  </li>
  <li>
   Experience working with DevOps and Automation tools
  </li>
  <li>
   Hands on knowledge of ETL/BI tools
  </li>
  <li>
   Good understanding and experience of Shell Scripting
  </li>
  <li>
   Experience writing Advance SQL Queries
  </li>
  <li>
   Experience or familiarity with any of Programming Language (Java/R/Scala/Python)
  </li>
  <li>
   Willingness to work on and deliver on External Project Engagements on (Onsite / Offshore) &nbsp;Models.&nbsp;
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <p>
  <strong>
   Why Join Teknosys?
  </strong>
 </p>
 <p>
  At Teknosys, you will be at the forefront of Pakistan's digital transformation journey, shaping solutions across AI, Data, IT, and Managed Services. You'll work alongside some of the brightest minds in the industry, partner with global hyperscalers &amp; leaders, and close deals that define the future of digital in the region.
 </p>
 <p>
  Joining us means being part of a fast-scaling, innovation-led business where your impact will directly fuel growth, customer success, and leadership.
 </p>
</div>


Intermediate Analytics Engineer - Teknosys (Proactive Pipeline)

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