data integration engineer

Agile Resources, Inc.

<div>
 <strong>
  Job Title:
 </strong>
 SQL Data Engineer
 <br/>
 <br/>
 <strong>
  Location:
 </strong>
 Denver, CO (Hybrid &ndash; 2+ days onsite required)
 <br/>
 <br/>
 <strong>
  Job Type:
 </strong>
 Contract (12 months, potential for full-time conversion)
 <br/>
 <br/>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 We are seeking an experienced SQL Data Engineer to join our team in the Denver area. This role will focus on building and maintaining scalable data pipelines, integrating data across enterprise systems, and supporting high-volume data processing environments. The ideal candidate thrives in a fast-paced setting and can work cross-functionally with both technical and business stakeholders.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build and maintain ETL/ELT pipelines and data integrations
  </li>
  <li>
   Develop and optimize data models and data warehouse structures
  </li>
  <li>
   Integrate data across systems, including Salesforce, APIs, and enterprise platforms
  </li>
  <li>
   Ensure data quality, accuracy, and performance across pipelines
  </li>
  <li>
   Troubleshoot data issues and pipeline failures
  </li>
  <li>
   Support CI/CD and deployment processes for data pipelines
  </li>
  <li>
   Collaborate with business and technical teams to translate requirements into scalable data solutions
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   4&ndash;7+ years of experience in Data Engineering
  </li>
  <li>
   Strong SQL expertise, specifically with Microsoft SQL Server
  </li>
  <li>
   Hands-on experience with ETL tools, particularly SSIS
  </li>
  <li>
   Solid understanding of data warehousing and data modeling concepts
  </li>
  <li>
   Experience working with large datasets and high-volume systems
  </li>
  <li>
   Familiarity with API-based integrations
  </li>
  <li>
   Strong troubleshooting and problem-solving abilities
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with cloud platforms such as AWS, Azure, Snowflake, or Redshift
  </li>
  <li>
   Experience working with Salesforce data or CRM integrations
  </li>
  <li>
   Exposure to MuleSoft or similar integration platforms
  </li>
  <li>
   Familiarity with CI/CD or DevOps practices for data pipelines
  </li>
  <li>
   Experience in enterprise or large-scale environments
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Soft Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ability to work independently in a fast-paced environment
  </li>
  <li>
   Strong communication skills with both technical and non-technical stakeholders
  </li>
  <li>
   Comfortable collaborating across multiple teams, including Data, Salesforce, and Integration teams
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Engagement Details
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Duration: 12 months
  </li>
  <li>
   Conversion: Potential to convert to full-time
  </li>
  <li>
   Work Model: Hybrid (Denver, CO &ndash; 2+ days onsite required)
   <br/>
   <br/>
  </li>
 </ul>
 #AB-2
 <br/>
 <br/>
 #ADCC
</div>


SQL Data Engineer

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><p>TCS Hiring Azure Data Engineer at PAN India locations!!</p>
<p>
Experience Range- 5 to12 Years</p>
<p>
Key Technical Skillsets-</p>
<p>
</p><ul><li>Strong proficiency in Python, Pyspark.</li>
<li>Data Ingestion and Integration: Ingest data from various sources such as databases, files, APIs, and streaming platforms into Azure. For example, you could use Azure Data Factory to orchestrate the extraction, transformation, and loading (ETL) of data from an on-premises SQL Server database to Azure Blob Storage.
</li><li>Data Transformation and Processing: Perform data transformation and processing tasks to prepare the data for analysis and reporting. Azure Databricks or Azure Synapse Analytics can be used for large-scale data transformations using tools like Apache Spark.</li>
<li>Data Storage and Management: Select and manage the appropriate storage solutions for your data. For instance, you could use Azure SQL Database or Azure Cosmos DB for structured data, Azure Data Lake Storage for big data and unstructured data, or Azure Blob Storage for file storage.</li>
<li>Data Warehousing: Implementing data warehousing solutions is a common use case for Azure Data Engineers. Azure Synapse Analytics (formerly Azure SQL Data Warehouse) offers scalable and distributed analytics capabilities for handling large datasets.</li>
<li>Data Modeling and Analysis: Collaborate with data scientists and analysts to design and implement data models for analytical workloads. Azure Analysis Services or Azure Databricks can be used for building and deploying models to support interactive data analysis.</li></ul><p><br>
</p></div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>CONSULTANCY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>404819</div>
</div><div><div><b>Desired Skills</b></div>
<div>Azure | Big Data | SQL</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF TECHNOLOGY</div></div></div><div></div>

Azure Data Engineer

RH Aero Systems

<div><div><div><b>About RH Aero Systems:</b></div></div><div><div>
RH Aero Systems is setting the standard for aviation support equipment and services. Through our industry-leading businesses &ndash; Rhinestahl and HYDRO Systems &ndash; we deliver capability across custom-designed Ground Support Equipment, OEM-licensed engine and airframe tooling, 26 global service centers and innovative engineered solutions for OEMs, MROs and Operators worldwide. RH Aero Systems&rsquo; global headquarters are in Mason, Ohio, USA, with Regional Headquarters in Biberach, Germany and Singapore. For further details visit RHAero.com.</div></div><p>
</p><div><div><b>Job Summary:</b></div></div><p>
</p><div><div>The Data Engineer is responsible for building, maintaining, and scaling RH Aero&rsquo;s enterprise Azure data platform and Microsoft Fabric environment in support of business integration, data consolidation, and analytics transformation initiatives.</div></div><p>
</p><div><div>This role will be central to unifying data across two legacy operating companies as we implement our future ERP systems. The Data Engineer will design, build, and support the pipelines, data structures, quality controls, security model, and semantic layers needed to deliver trusted executive KPI reporting, cross-functional analytics, and future AI-enabled business insights.
</div></div><div></div><div><div>The environment includes multiple enterprise business platforms across manufacturing, service, supply chain, sales, and finance. This is not a report developer role. This is a platform building role for a technically strong engineer who can work across systems, business functions, and data domains.
</div></div><p></p><div><div><b>Why join this role:</b></div></div><ul><li><div>
Opportunity to help build a single, trusted enterprise data foundation across the organization.
</div></li><li><div>Play a key role in transforming fragmented reporting processes into a scalable and governed data platform.
</div></li><li><div>Contribute to improving executive decision-making, self-service analytics, and future AI-enabled insights.</div></li></ul><p>
</p><div><div><b>Key Responsibilities:</b></div></div><p>
</p><div><div>Build RH Aero&rsquo;s Future Analytics Platform
</div></div><ul><li><div>Design and implement the enterprise data platform architecture using Azure and Microsoft Fabric, including data ingestion, storage, transformation, modeling, and governed delivery patterns.
</div></li><li><div>Build and maintain robust automated pipelines from business applications, supplier/customer portals, and operational databases into a unified data environment.
</div></li><li><div>Establish raw, curated, and business-ready data layers to support repeatable analytics, executive dashboards, and self-service reporting.
</div></li><li><div>Integrate and normalize data from Epicor, JobBOSS, SAP ECC, Salesforce, Azure SQL, and other internal and external business systems.
</div></li><li><div>Create reusable data models, dimensions, facts, and business logic to support quote-to-cash, procure-to-pay, inventory, manufacturing, service, finance, and KPI reporting.
</div></li><li><div>Implement data quality checks, exception handling, reconciliation routines, and monitoring to improve trust in reporting and reduce manual work.
</div></li><li><div>Support Power BI delivery through governed semantic models, dataset optimization, security configuration, and drill-through to transaction-level source data.
</div></li><li><div>Help define and implement role-based access, row-level security, object-level security, and workspace governance aligned to company policy and regional privacy requirements.
</div></li><li><div>Document source-to-target mappings, lineage, business rules, data definitions, and engineering standards.
</div></li><li><div>Evaluate the current integration landscape, including manual feeds, direct SQL access, and middleware processes, and help transition the organization to more controlled and scalable patterns.
</div></li></ul><div><div><b>Qualifications and Experience:</b></div></div><p>
</p><ul><li><div>Bachelor&rsquo;s degree in Computer Science, Information Systems, Data Engineering, Analytics, or a related field is preferred. Equivalent practical experience in enterprise data engineering will also be considered.
</div></li><li><div>5+ years of experience in data engineering, data integration, or enterprise data platform development.
</div></li><li><div>4+ years of hands-on experience with Azure data services such as Azure Data Factory, Azure SQL, Azure Data Lake, Microsoft Fabric, Synapse, or closely related Microsoft data technologies.
</div></li><li><div>Strong SQL development skills and experience optimizing complex data transformations.
</div></li><li><div>Experience with Python, PySpark, Spark SQL, or comparable scripting/programming tools used in modern data engineering.
</div></li><li><div>Experience designing and implementing data lake, lakehouse, or data warehouse solutions.
</div></li><li><div>Strong understanding of dimensional modeling, semantic modeling, and data structures used for reporting and analytics.
</div></li><li><div>Experience building and supporting ETL/ELT pipelines across multiple source systems.
</div></li><li><div>Experience with Power BI datasets/semantic models and the data engineering practices that support governed reporting environments.
</div></li><li><div>Experience with data quality, reconciliation, lineage, and documentation practices.
</div></li><li><div>Ability to work in a fast-moving environment where source data, requirements, and processes are still maturing.
</div></li></ul><ul><li><div>Strong communication skills and the ability to work directly with both technical teams and business leaders.
</div></li><li><div>This role is based onsite in Mason</div></li></ul></div>

Data Engineer

West Virginia University

<div></div><div><div><p>The Department of Information Technology Services at West Virginia University is currently accepting applications for a Data Integration Engineer (Professional Technologist 3).</p><p><b>
About the Opportunity</b></p><p>
We are seeking a Data Integration Engineer with solid hands-on experience in Informatica Intelligent Data Management Cloud (IDMC), including Cloud Data Integration (CDI) and Mass Ingestion. This role will focus on administration, pipeline support, troubleshooting, and SQL-based data integration tasks within our enterprise environment.</p><p>
We strongly believe in work-life balance and keeping time for things we love outside our work. WVU offers generous benefits, including:</p><ul><li>
37.5-hour work week</li><li>
13 paid holidays (staff holiday calendar)</li><li>
24 annual leave (vacation) days per year or more based on years of service (employee leave)</li><li>
18 sick days per year (for when you&rsquo;re ill, for when you need time to care for sick family, for your own, or your family&rsquo;s, regularly scheduled medical appointments. Who is family for the purpose of this leave? A lot of people in your life including immediate relatives and in-laws as well as others considered to be members of your household living under the same roof)</li><li>
WVU offers a range of health insurance and other benefits</li><li>
401(a) retirement savings with 6% employee contribution match, eligibility to continue health insurance, and other retiree perks. Looking for more retirement benefits information? Check out retirement health insurance benefits, retirement income, and FAQ&rsquo;s.</li><li>
Wellness programs</li></ul><p><b>
What You'll Do</b></p><ul><li>
Administer and support Informatica Intelligent Data Management Cloud (IDMC) services, including Cloud Data Integration (CDI) and Mass Ingestion.</li><li>
Manage day-to-day operations of the Informatica platform, including user access, roles/permissions, environment configuration, and service monitoring.<br>
Monitor, troubleshoot, and resolve integration job failures, performance issues, and connectivity problems to ensure high availability and reliability of data pipelines.</li><li>
Configure and maintain Secure Agents, runtime environments, and connectivity to on-premises and cloud data sources.</li><li>
Develop, maintain, and optimize ETL/ELT pipelines using Informatica CDI, ensuring efficient data movement and transformation.</li><li>
Write and tune complex SQL queries to support data integration, validation, and performance optimization across relational databases.</li><li>
Support code migrations and deployments across development, test, and production environments, following established SDLC and change management processes.</li><li>
Configure and maintain connectors (databases, file systems, APIs, SaaS applications), including connection parameters and credentials.</li><li>
Implement and support authentication mechanisms (OAuth, tokens, service accounts, API keys) in alignment with enterprise security standards.</li><li>
Work closely with application teams, DBAs, and analysts to troubleshoot data issues and validate data flows.</li><li>
Maintain and enhance operational documentation, including runbooks, troubleshooting guides, and standard procedures.</li><li>
Assist with platform upgrades, patches, and new feature adoption in coordination with senior team members.</li><li>
Participate in on-call support rotation for critical incidents and production support.</li><li>
Continuously learn and apply new tools and features within the Informatica ecosystem and related technologies.</li><li>
Collaborate with DBAs and infrastructure teams on physical database design and storage optimization.</li><li>
Knowledge of cloud platforms (AWS/Azure) and connectivity to Snowflake and Informatica IDMC.</li><li>
Unix/Linux/Shell Scripting.</li><li>
Must have good Verbal and Written communication skills.</li><li>
Able to learn new technologies.</li><li>
Be available on an on-call basis for troubleshooting system and application problems as well as for critical deployments.</li><li>
Other duties as assigned by Management.</li></ul><div>
</div></div><div><b>
Qualifications</b><div>
</div><ul><li>
Bachelor&rsquo;s degree</li><li>
A minimum of four (4) years combined experience involving:<ul><li>
Information Technology Experience</li><li>
Experience working with relational databases (Oracle, SQL Server, Snowflake, PostgreSQL, etc.) using SQL for data querying, transformation, and analysis</li><li>
Hands-on experience supporting and developing data integration pipelines using Informatica IDMC, including Cloud Data Integration (CDI) and/or Mass Ingestion</li><li>
Experience administering or supporting data integration platforms in a production environment, including job monitoring, troubleshooting, and performance tuning</li></ul></li><li>
Any equivalent combination of related education and/or experience will be considered.</li><li>
All qualifications must be met by the time of employment.</li></ul><p><b>
Knowledge, Skills, &amp; Abilities</b></p><ul><li>
Solid understanding of Informatica IDMC administration, including Secure Agent setup, connection management, and job monitoring.</li><li>
Strong proficiency in SQL for data transformation, validation, and performance tuning.</li><li>
Good understanding of ETL/ELT concepts, data integration patterns, and data processing workflows.</li><li>
Experience troubleshooting data pipeline failures, connectivity issues, and performance bottlenecks.</li><li>
Familiarity with API integrations and working with REST/SOAP services.</li><li>
Ability to work with structured and semi-structured data (JSON, XML, flat files).</li><li>
Understanding of security best practices, including credential management and secure connectivity.</li><li>
Experience with job scheduling, logging, and monitoring tools within Informatica or similar platforms.</li><li>
Ability to create and maintain technical documentation (runbooks, SOPs, deployment steps).</li><li>
Strong analytical and problem-solving skills with attention to detail.</li><li>
Ability to work independently and manage multiple tasks in a fast-paced environment.</li><li>
Effective verbal and written communication skills for collaborating with technical and functional teams.</li><li>
Willingness and ability to learn new technologies and adapt to evolving data platforms.</li><li>
Ability to work under pressure and meet deadlines while maintaining accuracy and quality.</li></ul><div>
</div></div><div><b>
Requirements</b><div></div><p><b><br>
Licenses/Certifications</b></p><ul><li>
Familiarity with data integration concepts and willingness to pursue relevant certifications (e.g., Informatica IDMC, CDMP) within 12 months of employment.</li></ul><div>
</div></div><div><b>
About WVU</b><div></div><p><br>
West Virginia University is a place of purpose and community. We take pride in our profound impact on the state of West Virginia and are committed to the personal and professional growth of our employees.</p><p>
From the groundbreaking R1 research at our flagship campus in Morgantown to the career-oriented programs at WVU Potomac State in Keyser, and the technology-intensive programs at WVU Tech in Beckley, the contributions of WVU employees resonate across the state, touching lives and shaping futures.</p><p>
At WVU, you will discover a supportive community that champions work-life balance and fosters a collaborative atmosphere. Our core values &mdash; service, curiosity, respect, accountability and appreciation &mdash; unite us as Mountaineers.</p><p>
Join us at West Virginia University, where your work will make a lasting impact. To learn more about WVU, visit wvu.edu.</p><p>
West Virginia University is an Equal Opportunity Employer. We invite all qualified applicants regardless of race, color, religion, sex, national origin, age, disability, genetic information, or Veteran status.</p><div><br>
</div></div><div><b>
Job Posting</b><b>:</b> Apr 13, 2026</div><div><b>
Posting Classification</b><b>:</b> Non-Classified</div><div><b>
Exemption Status</b><b>:</b> Exempt</div><div><b>
Benefits Eligible</b><b>:</b> Yes</div><div><b>
Schedule</b><b>:</b> Full-time</div></div>

(Remote) Integration Engineer - Information Technology Services

Exert Infotech LLC

<div>
 <p>
  📢 Hiring: Data Engineer (Entry-Level) &ndash; USA 🇺🇸
 </p>
 <p>
  <strong>
   🎓 Open to Dec 2025 &amp; May Graduates | Visa Sponsorship Available
  </strong>
 </p>
 <p>
  We are actively looking for
  <strong>
   motivated and detail-oriented Data Engineer graduates
  </strong>
  to join our growing team in the United States. If you are passionate about data, cloud technologies, and building scalable pipelines &mdash; this is a great opportunity to kickstart your career.
 </p>
 <p>
  🔹 Role: Data Engineer (Entry-Level)
 </p>
 <p>
  📍 Location: United States (Onsite / Hybrid / Remote options available)
 </p>
 <p>
  🎓 Eligibility: Graduating in
  <strong>
   Dec 2025 or May 2026
  </strong>
 </p>
 <p>
  💼 Job Type: Full-time
 </p>
 <p>
  🌍 Work Authorization:
  <strong>
   OPT / CPT / STEM OPT / GC/ US Citizen
  </strong>
 </p>
 <p>
  🔧 Key Responsibilities:
 </p>
 <ul>
  <li>
   Design, build, and maintain scalable
   <strong>
    data pipelines
   </strong>
  </li>
  <li>
   Work with large datasets using
   <strong>
    SQL, Python, or Spark
   </strong>
  </li>
  <li>
   Support
   <strong>
    ETL/ELT processes
   </strong>
   and data integration
  </li>
  <li>
   Collaborate with data analysts and business teams
  </li>
  <li>
   Ensure
   <strong>
    data quality, governance, and performance optimization
   </strong>
  </li>
 </ul>
 <p>
  🛠️ Required Skills:
 </p>
 <ul>
  <li>
   Strong knowledge of
   <strong>
    SQL &amp; Python
   </strong>
  </li>
  <li>
   Understanding of
   <strong>
    Data Structures &amp; Algorithms
   </strong>
  </li>
  <li>
   Familiarity with
   <strong>
    cloud platforms
   </strong>
   (AWS / Azure / GCP)
  </li>
  <li>
   Exposure to tools like
   <strong>
    Apache Spark, Hadoop, Snowflake
   </strong>
  </li>
  <li>
   Basic understanding of
   <strong>
    data warehousing concepts
   </strong>
  </li>
 </ul>
 <p>
  ⭐ Preferred Qualifications:
 </p>
 <ul>
  <li>
   Internship/project experience in data engineering or analytics
  </li>
  <li>
   Knowledge of
   <strong>
    Airflow, Kafka, or DBT
   </strong>
  </li>
  <li>
   Experience with
   <strong>
    real-time data processing
   </strong>
  </li>
 </ul>
 <p>
 </p>
</div>


Jr Data Engineer

<div>
 <strong>
  Introduction
  <br/>
  <br/>
 </strong>
 A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You&rsquo;ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you&rsquo;ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You&rsquo;ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
 <br/>
 <br/>
 <strong>
  Your Role And Responsibilities
  <br/>
  <br/>
 </strong>
 As a seasoned Data Engineer specializing in Data Integration, you will design and build solutions to transfer data from operational and external environments to the business intelligence environment. Your expertise will ensure the seamless flow of data throughout the business intelligence solution's lifecycle. Your primary responsibilities will include:
 <br/>
 <br/>
 <ul>
  <li>
   Design Data Integration Solutions: Create and implement Extract, Transform, and Load (ETL) processes to facilitate data transfer between environments, utilizing tools such as Informatica, Ab Initio software, and DataStage.
  </li>
  <li>
   Develop ETL Processes: Build and maintain efficient ETL processes to ensure accurate and timely data flow, adhering to best practices and industry standards.
  </li>
  <li>
   Implement Data Integration Tools: Utilize IBM's WebSphere Data Integration Suite to integrate data from various sources, ensuring data consistency and integrity.
  </li>
  <li>
   Ensure Seamless Data Flow: Monitor and troubleshoot data integration issues, collaborating with stakeholders to resolve problems and optimize data flow.
  </li>
  <li>
   Optimize Data Integration Solutions: Continuously evaluate and improve data integration solutions, identifying opportunities for process improvements and efficiency gains.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Technical And Professional Expertise
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Data Integration Solution Design: Experience with designing and building solutions to transfer data from operational and external environments to the business intelligence environment, utilizing tools such as Informatica, Ab Initio software, and DataStage.
  </li>
  <li>
   ETL Process Development: Experience in creating and implementing Extract, Transform, and Load (ETL) processes to facilitate data transfer between environments, adhering to best practices and industry standards.
  </li>
  <li>
   Data Integration Tool Implementation: Experience with utilizing IBM's WebSphere Data Integration Suite to integrate data from various sources, ensuring data consistency and integrity.
  </li>
  <li>
   Data Flow Optimization: Experience in monitoring and troubleshooting data integration issues, collaborating with stakeholders to resolve problems and optimize data flow.
  </li>
  <li>
   Data Integration Solution Evaluation: Experience in continuously evaluating and improving data integration solutions, identifying opportunities for process improvements and efficiency gains.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Technical And Professional Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Data Integration Tool Expertise: Experience with utilizing IBM's WebSphere Data Integration Suite, Informatica, Ab Initio software, and DataStage to integrate data from various sources, ensuring data consistency and integrity.
  </li>
  <li>
   ETL Process Optimization: Experience in optimizing ETL processes to ensure accurate and timely data flow, adhering to best practices and industry standards.
  </li>
  <li>
   Data Flow Troubleshooting: Experience in monitoring and troubleshooting data integration issues, collaborating with stakeholders to resolve problems and optimize data flow.
  </li>
 </ul>
</div>


Senior Data Engineer - Data Integration

HCLTech

<div>
 <p>
  HCLTech is looking for a highly talented and self- motivated
  <strong>
   Data Engineer
  </strong>
  to join it in advancing the technological world through innovation and creativity.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Title: Data Engineer
  </strong>
 </p>
 <p>
  <strong>
   Job ID: 103001
  </strong>
 </p>
 <p>
  <strong>
   Position Type: Full-time
  </strong>
 </p>
 <p>
  <strong>
   Location: St. Louis City County, Missouri, United States (Hybrid)
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications &amp; Experience
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required
  </strong>
 </p>
 <p>
  &bull;Bachelor&rsquo;s degree in computer science, Data Engineering, Information Technology, or a related field
 </p>
 <p>
  &bull;Proficiency in programming language such as Python or Java.
 </p>
 <p>
  &bull;Experience with Big Data technologies such as Hadoop, Spark, and Kafka
 </p>
 <p>
  &bull;Familiarity with ETL processes and tools
 </p>
 <p>
  &bull;Knowledge of SQL and NoSQL databases
 </p>
 <p>
  &bull;Strong understanding of relational databases
 </p>
 <p>
  &bull;Experience with data warehousing solutions
 </p>
 <p>
  &bull;Proficiency with cloud platforms
 </p>
 <p>
  &bull;Expertise in data modeling and design
 </p>
 <p>
  &bull;Experience in designing and building scalable data pipelines
 </p>
 <p>
  &bull;Experience with RESTful APIs and data integration
 </p>
 <p>
  <strong>
   Preferred
  </strong>
 </p>
 <p>
  &bull;Relevant certifications (e.g., GCP Certified, AWS Certified, Azure Certified)
 </p>
 <p>
  &bull;Strong analytical and communication skills
 </p>
 <p>
  &bull;Ability to work collaboratively in a team environment
 </p>
 <p>
  &bull;High level of accuracy and attention to detail
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Pay and Benefits
   </u>
  </strong>
 </p>
 <p>
  <strong>
   Pay Range Minimum: $67,000 per year
  </strong>
 </p>
 <p>
  <strong>
   Pay Range Maximum: $101,000 per year
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@hcltech.com for investigation.
  </strong>
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  <strong>
   A candidate&rsquo;s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death &amp; dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year
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  <strong>
   How You&rsquo;ll Grow
  </strong>
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  At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.
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