data integration specialist

Mathew Lawn Garden

<p><b>Overview</b><br/>We are seeking a dynamic and detail-oriented Data Management Specialist to join our innovative team. In this pivotal role, you will drive the organization, integration, and analysis of complex data sets to support strategic decision-making and operational excellence. Your expertise will empower our organization to harness the full potential of data through effective management, cutting-edge tools, and collaborative leadership. If you thrive in a fast-paced environment and are passionate about transforming raw data into actionable insights, this opportunity is for you!</p><p><b>Duties</b></p><ul><li>Lead ETL (Extract, Transform, Load) processes utilizing tools like Informatica, Talend, and Python to facilitate seamless data integration from diverse sources.</li><li>Create interactive dashboards and visualizations using Tableau to communicate insights effectively to stakeholders at all levels.</li><li>Manage project timelines and coordinate cross-functional teams using Agile methodologies to deliver data solutions on schedule.</li><li>Oversee data collection efforts, ensuring adherence to best practices in database design and data governance policies.</li><li>Collaborate with technical teams on database architecture improvements and implement Linked Data principles for enhanced data connectivity.</li></ul><p><b>Skills</b></p><ul><li>Proficiency in SQL for querying complex datasets with precision and efficiency.</li><li>Strong experience with Tableau for developing compelling visual analytics dashboards.</li><li>Knowledge of ETL tools such as Informatica, Talend, or custom Python scripts for data processing workflows.</li><li>Familiarity with Big Data frameworks like Hadoop or Spark to handle large-scale datasets effectively.</li><li>Expertise in database design principles for building reliable data warehouses using Oracle or similar systems.</li><li>Understanding of Data Management best practices including data quality assurance, metadata management, and security protocols.</li><li>Project management skills with experience leading teams through Agile cycles to deliver timely results.</li><li>Analytical mindset with excellent analysis skills to interpret trends, identify anomalies, and generate actionable insights from complex datasets.</li><li>Leadership qualities that inspire collaboration across departments while guiding technical teams toward innovative solutions. Join us as a Data Management Specialist and be at the forefront of transforming raw information into strategic assets! Your expertise will shape the future of our organization&rsquo;s data-driven initiatives while fostering a culture of continuous improvement and innovation.</li></ul><p>Pay: $23.47 - $35.00 per hour</p><p>Benefits:</p><ul><li>Commuter assistance</li><li>Dental insurance</li><li>Employee assistance program</li><li>Employee discount</li><li>Flexible schedule</li><li>Health savings account</li><li>Life insurance</li><li>On-site gym</li><li>Paid parental leave</li><li>Paid time off</li><li>Parental leave</li><li>Professional development assistance</li><li>Referral program</li><li>Relocation assistance</li><li>Vision insurance</li></ul><p>Work Location: In person</p>

Data Management Analyst

Shelter Insurance

<div><p><b>A company built to serve you. It's your career, Shelter it!</b></p><p></p><p><b>
Data Engineering &amp; Operations Specialist
</b></p><p><b>$101,504 &ndash; 125,868 / year minimum starting pay</b></p><p><b>
Job Level: Individual Contributor</b></p><p><b>
Location: Columbia, Missouri (On-site, Full-Time)</b></p><p></p><p>
Shelter maintains broad salary ranges for its roles in order to account for variations in geographic location, education, training, skills, relevant work experience, business needs and market demands. Please remember that this range is the starting base pay only and does not consider other components that make up the total rewards package for the position.</p><p></p><p><b>
What You Will Be Doing:
</b></p><p>Design, implement, and maintain data pipelines, data integration solutions, and data architecture. Additionally, expertise in Snowflake is required to ensure efficient and scalable data storage, processing, and analytics.</p><p></p><p><b>
What We're Looking For:
</b></p><ul><li><p>Bachelor's or Master's degree in computer science, information systems, or a related field is preferred.</p></li><li><p>
Proven experience (4+ years) as a Senior Data Engineer, with expertise in Qlik Replicate, Compose, and DBTLabs &amp; Astronomer, combined with hands-on experience in Snowflake typically required.</p></li><li><p>
Proficiency in Qlik Replicate, Compose, and Github, DBTLabs &amp; Astronomer for data integration, replication, and transformation.</p></li><li><p>
Strong understanding of data engineering principles, data modeling, ETL processes, and data warehousing concepts.</p></li><li><p>
Expertise in Snowflake, including data ingestion, storage, performance optimization, and security.</p></li><li><p>
Experience with cloud platforms, such as AWS or Azure, and working with cloud-based data solutions and services.</p></li><li><p>
Familiarity with data quality, data governance, and data lifecycle management practices.</p></li><li><p>
Solid programming skills in SQL and scripting languages (e.g., Python, PowerShell) for data manipulation and automation.</p></li><li><p>
Strong problem-solving and troubleshooting abilities, with the ability to diagnose and resolve data engineering issues.</p></li><li><p>
Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.</p></li><li><p>
Ability to perform essential functions of the position, with or without a reasonable accommodation.</p></li></ul><p></p><p><b>
Shelter's uncompromising commitment to excellence doesn't stop with our customers. We recognize our employees are what make us a premier organization in the insurance industry. Shelter Employees enjoy such benefits as:</b></p><ul><li><p>
Health, Dental, Voluntary Vision and Prescription Drug Insurance</p></li><li><p>
Savings and Profit Sharing 401(k)</p></li><li><p>
Paid Time Off for Sick and Personal Leave, Vacation and Holidays</p></li><li><p>
Vitality Wellness Program</p></li><li><p>
&quot;Dress for Your Day&quot; Dress Code</p></li><li><p>
Flexible Scheduling</p></li><li><p>
And much more!</p></li></ul><p></p><p>
If interested, please apply by:</p>
04/27/2026</div><p></p>

Data Engineering & Operations Specialist

Nicklaus Children's Health System

<div><h2 class="jobSectionHeader"><div><b>Description</b></div></h2><div><b>
Job Summary</b></div><div>
Integrates, builds, and maintains data pipelines and data transformation algorithms for enterprise data analytics consumption. Responsible for data integration, monitoring of data storage, and data distribution across multiple on premise and cloud-based data environments in preparation for sophisticated analytics consumption, data mining, and enterprise data insights.</div><div></div><div><b><br>
Job Specific Duties</b></div><ul><li><div>
 Designs and develops highly scalable, end to end process to consume, integrate and analyze large volume, and complex data from dispersed data sources on both on premise and cloud-based data environments and systems.
 </div></li><li><div>Integrates, builds, and maintains data pipelines and data transformation algorithms for enterprise data analytics consumption.
 </div></li><li><div>Responsible for data integration, monitoring of data storage, and data distribution across multiple on premise and cloud-based data environments in preparation for sophisticated analytics consumption, data mining, and enterprise data insights.
 </div></li><li><div>Engages and communicates effectively with a variety of IT, research, and medical staff.
 </div></li><li><div>Integrates and ETL/ELT datasets and flows using a variety of open source and best in class proprietary software.
 <br>
</div></li><li><div>Write complex, efficient queries against large, and disparate data sources.
 </div></li><li><div>Monitors ETL/ELT performance and ensures compliance with security.
 </div></li><li><div>Deploy sophisticated analytics programs, machine learning, and statistical methods. Prepare data for predictive and prescriptive modeling. Find hidden patterns using data to help improve business insights.
 </div></li><li><div>Use of machine learning patterns for data discovery and on tasks that can be automated.</div></li></ul><div></div><div><br>
</div><div></div><h2 class="jobSectionHeader"><div><b>Qualifications</b></div></h2>
<div><b>Minimum Job Requirements</b></div><ul><li><div>
Bachelor's Degree in IT, Biomedical Informatics, Computer Science, Engineering or related field with at least 4 years of combined experience in Clinical IT and/or Research (or) Master&rsquo;s degree in IT, Biomedical Informatics, Computer Science, Engineering with at least 2 years of combined experience in Clinical IT and/or Research</div></li><li><div>
1-3 years of data engineering and integration experience</div></li><li><div>
 1-3 years of data management in cloud-based data environments such as Azure or AWS</div></li><li><div>
 3-5 years of experience developing database schemas, querying, managing, or curating Oracle PL/SQL or SQL server databases</div></li><li><div>
 1-3 years of data warehousing ELT/ETL experience</div></li><li><div>
 1-3 years of experience with the use of Python, SQL, SSIS, or Informatica for data ETL and data transformations</div></li><li><div>
 Experience working with API&rsquo;s/RESTful Web Services</div></li><li><div>
 Experience with XML, JSON, HL7, or FHIR</div></li><li><div>
 Experience with data visualization tools such as Tableau or Power BI</div></li></ul><div><b>
Knowledge, Skills, and Abilities</b></div><ul><li><div>
 Direct experience or strong familiarity with commercial EHR platform and/or PeopleSoft.</div></li><li><div>
 Experience extracting and managing data from large enterprise clinical and non-clinical systems.</div></li><li><div>
 Familiarity with and experience with efficient database ETL processes &ndash; extracting data from a wide range of data sources, normalizing data, creating and providing entity relationship diagrams, schemas and related documentation, creating primary and foreign keys and indexing, writing functional and technical specifications.</div></li><li><div>
 Ability to learn and apply new technical skills.</div></li><li><div>
 Willingness and ability to share knowledge with other team members.</div></li><li><div>
 Ability to adapt to changes in fast paced healthcare and data environment.</div></li><li><div>
 Identify ways to improve data reliability, efficiency, and quality.</div></li><li><div>
 Effective work experience developing, integrating, and supporting data systems; working with a combination of both relational and NoSQL databases.</div></li></ul><br>
<div></div>
<br>
<br>
<h2 class="jobSectionHeader"><div><b>Job:</b></div></h2>
Information Technology<br>
<h2 class="jobSectionHeader"><div><b>
Department:</b></div></h2>
ENTERPRISE BUS INTELLIGENCE-1000-921906<br>
<h2 class="jobSectionHeader"><div><b>
Job Status:</b></div></h2>
Full Time</div>

Data Engineer II

Cloudelligent

<div><b>Position Title:</b> Integration Support Engineer<br>
<b>Job Timings:</b> 8am- 5pm CST (Central Time USA)<br>
<b>Location:</b> Islamabad<p><b><br>
About Cloudelligent</b></p><p>
Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to startups, SMB &amp; the public sector (Non-Profit Organizations). Being a next-gen cloud service provider, we help customers to break free from hardware lifecycle and capital expenditures, allowing them to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed.</p><h2 class="jobSectionHeader"><b>
Job Objective</b></h2>
This is a client-facing, collaborative role. Strong written and verbal communication skills are essential, as it is a high degree of attention to detail and responsiveness. The ideal candidate takes ownership of their workload, communicates proactively, and consistently meets deadlines without requiring close supervision. The position is technical and backend-focused, centered on configuring, supporting, and enhancing integration services rather than core product feature development.<br>
<b>Responsibilities</b><ul><li>
Triage, prioritize, and resolve integration tickets in close collaboration with the client.</li><li>
Perform data mapping between Core, Enterprise, and third-party systems.</li><li>
Install, configure, and maintain integration services, including ODBC, EWA, FUSE, and related connectors.</li><li>
Implement service-level code adjustments to support integration workflows.</li><li>
Modify and optimize data transformation logic across systems.</li><li>
Troubleshoot integration failures, connectivity issues, and data inconsistencies</li><li>
Communicate clearly and promptly with the client on ticket status, blockers, and progress.</li><li>
Support backend integration deployments in Windows and Linux environments.</li><li>
Document integration, configurations, resolutions, and system dependencies.</li></ul><b>
Requirements</b><ul><li>
4+ years of experience with SQL and database architecture</li><li>
4+ years of experience with data mapping and ETL processes</li><li>
Hands-on experience configuring backend services and system-level integrations</li><li>
Familiarity with ODBC connectivity and database drivers</li><li>
Experience working with integration services and middleware tools</li><li>
Ability to make targeted code updates in service-layer environments</li><li>
Working knowledge of Python, Java, or similar backend languages</li><li>
Understanding of data structures, system connectivity, and backend troubleshooting</li><li>
Exceptional written and verbal communication, able to provide clear, timely updates to clients and internal team members</li><li>
High attention to detail, accurate documentation and thorough validation are non-negotiable</li><li>
Strong responsiveness, expected to be reachable and reply promptly during US business hours</li><li>
Self-directed and dependable, manages workload independently and flags blockers early</li><li>
Collaborative, works effectively within established client workflows and adapts quickly to existing processes</li></ul><b>
Good to have</b><ul><li>
Experience in enterprise SaaS or legal technology environments</li><li>
Experience with proprietary or custom integration services</li><li>
Exposure to API-based integrations and service configuration</li><li>
Familiarity with data warehouse environments</li><li>
Prior experience in a contractor or embedded client-facing role</li></ul><b>
Success in This Role Looks Like</b><ul><li>
Consistent, timely resolution of integration tickets with clear client communication throughout.</li><li>
Accurate and stable data flow between connected systems.</li><li>
Proactive status updates, no client should have to chase for an answer.</li><li>
Clean documentation and repeatable configuration processes.</li><li>
Backlog reduced steadily while new items are handled without bottleneck.</li></ul><p>
</p><p>9XAOl2ZBbF</p></div>

Integration Support 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

Integrated Diagnostics Holdings - IDH

<div>
 <p>
  <strong>
   About the Role:
  </strong>
 </p>
 <p>
  <span>
   We are seeking a highly skilled BI Engineer to join our Data Management team. The ideal candidate will play a key role in designing, developing, and maintaining our data pipelines, integrations, and reporting solutions. You will work closely with SAP modules, SAP BDC Data Warehouse, and modern platforms like SAP Datasphere and Databricks to ensure reliable data flow and insightful analytics.
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   <span>
    Design, build, and optimize ETL processes to integrate data from SAP modules into SAP BDC Data Warehouse, SAP Datasphere, and Databricks.
   </span>
  </li>
  <li>
   <span>
    Develop and maintain data models that support business intelligence and analytics needs.
   </span>
  </li>
  <li>
   <span>
    Create interactive dashboards and reports using Power BI and SAP Analytics Cloud (SAC).
   </span>
  </li>
  <li>
   <span>
    Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.
   </span>
  </li>
  <li>
   <span>
    Ensure data quality, consistency, and governance across all reporting layers.
   </span>
  </li>
  <li>
   <span>
    Implement best practices for data integration, performance tuning, and automation.
   </span>
  </li>
  <li>
   <span>
    Support ad-hoc data analysis and provide actionable insights to stakeholders.
   </span>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills &amp; Qualifications
  </strong>
 </p>
 <ul>
  <li>
   <span>
    Strong experience with SAP modules and SAP BDC Data Warehouse.
   </span>
  </li>
  <li>
   <span>
    Hands-on expertise in SAP Datasphere and Databricks.
   </span>
  </li>
  <li>
   <span>
    Proficiency in Power BI and SAP Analytics Cloud (SAC) for visualization.
   </span>
  </li>
  <li>
   <span>
    Solid knowledge of SQL for querying and data manipulation.
   </span>
  </li>
  <li>
   <span>
    Experience with Python for data processing, automation, and advanced analytics.
   </span>
  </li>
  <li>
   <span>
    Proven track record in ETL development, data integration, and system interoperability.
   </span>
  </li>
  <li>
   <span>
    Strong analytical and problem-solving skills with attention to detail.
   </span>
  </li>
  <li>
   <span>
    Ability to work collaboratively in a fast-paced environment.
   </span>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Qualifications
  </strong>
 </p>
 <ul>
  <li>
   <span>
    Experience with cloud-based data platforms (Azure, AWS, or GCP).
   </span>
  </li>
  <li>
   <span>
    Familiarity with data governance frameworks and security best practices.
   </span>
  </li>
  <li>
   <span>
    Knowledge of machine learning basics for advanced analytics is a plus
   </span>
  </li>
 </ul>
</div>


Data Analytics Engineer

Anicca Data Science Solutions

<div>
 We are seeking a skilled
 <strong>
  Data Engineer Intern
 </strong>
 with 2+ years of experience in designing, building, and optimizing data pipelines and integration solutions. The ideal candidate will have strong expertise in ETL/ELT processes, SQL optimization, and modern data tools across cloud environments.
 <br/>
 <br/>
 Duration - 3 months
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and maintain scalable ETL/ELT pipelines using SSIS, dbt, and Airbyte
  </li>
  <li>
   Build and optimize data workflows to process large datasets efficiently
  </li>
  <li>
   Write complex SQL queries, including joins, CTEs, window functions, and performance tuning
  </li>
  <li>
   Develop and maintain data models and data warehouse architectures
  </li>
  <li>
   Work with AWS services (Redshift, S3, Athena) for data storage, transformation, and analytics
  </li>
  <li>
   Ensure data quality, integrity, and consistency across data pipelines
  </li>
  <li>
   Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
  </li>
  <li>
   Implement and manage version control using Git and support CI/CD pipelines for automated deployments
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2+ years of experience in data engineering or related roles
  </li>
  <li>
   Strong experience with SSIS for ETL development and data integration
  </li>
  <li>
   Advanced proficiency in SQL with a focus on performance optimization
  </li>
  <li>
   Hands-on experience with dbt and Airbyte for data transformation and ingestion
  </li>
  <li>
   Experience working with AWS data services, including Redshift, S3, and Athena
  </li>
  <li>
   Solid understanding of data modeling, data warehousing concepts, and scalable architecture design
  </li>
  <li>
   Familiarity with version control systems (Git) and CI/CD practices
  </li>
  <li>
   Strong problem-solving skills and ability to work with large, complex datasets
  </li>
 </ul>
</div>


Data Engineer Intern

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