data integration specialist

<div>
 
 Introduction
 
 
 
 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.
 
 
 
 Your Role And Responsibilities
 
 
 
 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:
 
 
 <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.
 
 
 </li>
 </ul>
 
 Required Technical And Professional Expertise
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <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

Cloudelligent

<div>Position Title: Integration Support Engineer 
Job Timings: 8am- 5pm CST (Central Time USA) 
Location: Islamabad 
About Cloudelligent
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.<h2 class="jobSectionHeader">
Job Objective</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. 
Responsibilities<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>
Requirements<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>
Good to have<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>
Success in This Role Looks Like<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>
9XAOl2ZBbF</div>

Integration Support Engineer

West Virginia University

<div></div><div><div>The Department of Information Technology Services at West Virginia University is currently accepting applications for a Data Integration Engineer (Professional Technologist 3).
About the Opportunity
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.
We strongly believe in work-life balance and keeping time for things we love outside our work. WVU offers generous benefits, including:<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>
What You'll Do<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. 
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>
Qualifications<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>
Knowledge, Skills, &amp; Abilities<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>
Requirements<div></div> 
Licenses/Certifications<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>
About WVU<div></div> 
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.
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.
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.
Join us at West Virginia University, where your work will make a lasting impact. To learn more about WVU, visit wvu.edu.
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.<div> 
</div></div><div>
Job Posting: Apr 13, 2026</div><div>
Posting Classification: Non-Classified</div><div>
Exemption Status: Exempt</div><div>
Benefits Eligible: Yes</div><div>
Schedule: Full-time</div></div>

(Remote) Integration Engineer - Information Technology Services

Asian Global Infotech

Position: Senior Data Integration ( Client and technical team handling)&ndash; Customer 360 PlatformLocation: Abu Dhabi, UAE (Onsite), candidates ready to relocate also welcomed) Open Positions: 3 Experience: 5+ Years Notice Period: Immediate to 30 Days Employment Type: Full-Time Work Schedule: 5 Days/Week Benefits: Visa, Insurance, Travel (to &amp; from) providedProject OverviewWe are building a Customer 360 Platform for a leading client to create a unified, single view of customer data across 40+ systems. The platform will enable customer insights, personalization, and data-driven decision-making.Key Responsibilities<ul><li>Elicit, analyze, and document business and technical requirements across multiple workstreams</li><li>Collaborate with stakeholders to define requirements for a Customer 360 data platform</li><li>Analyze data flows, data feeds, and integration points across multiple systems</li><li>Work closely with data architects, engineers, and vendors to validate solutions</li><li>Define and document data models, schemas, and structures</li><li>Ensure data governance, lineage, and quality frameworks are implemented</li><li>Support data integration and customer data stitching across multiple applications</li><li>Translate business requirements into technical specifications for architects</li><li>Create documentation: user stories, process flows, and acceptance criteria</li><li>Facilitate Agile ceremonies and support delivery teams</li></ul>Required Skills &amp; Experience<ul><li>5+ years of experience in data-driven, data integration, or migration projects</li><li>Strong expertise in:</li><li>Data Modelling &amp; Schema Design</li><li>Data Lineage &amp; Governance</li><li>Data Quality &amp; Validation</li><li>Data Integration &amp; Data Flow Management</li><li>Experience working with data platforms such as:</li><li>Azure Data Lake Storage (ADLS)</li><li>Databricks</li><li>OR AWS (S3, Redshift) / Google BigQuery</li><li>Experience in data warehouse migrations or Customer 360 implementations</li><li>Strong ability to interpret data feeds, schemas, and integration specifications</li><li>Ability to bridge business and technical teams effectively</li><li>Hands-on experience working with multiple system integrations (~40+ systems preferred)</li><li>Experience working in Agile/Scrum environments</li><li>Excellent communication and stakeholder management skills</li></ul>Important Note<ul><li>This is NOT a Data Engineer role</li><li>Candidates must have functional + technical understanding of data ecosystems</li><li>Strong communication skills are mandatory</li></ul>Nice to Have<ul><li>Experience in Airline domain</li><li>Exposure to CRM / Customer Engagement platforms</li><li>Experience with Adobe Journey Optimizer or Amadeus</li></ul>Ideal Candidate Profile<ul><li>Strong data analyst with integration &amp; migration exposure</li><li>Ability to guide architects and influence solution design</li><li>Comfortable working across business + technical stakeholders</li><li>Experience building or supporting customer-centric data platforms</li></ul>Job Type: Full-timePay: Up to AED18,000.00 per monthApplication Question(s):<ul><li>Have you worked on any Customer 360 or data warehouse projects?</li><li>When you start a new project, how do you understand what data is required from the business? What kind of discussions do you have before building anything?</li><li>Can you describe a project where you integrated data from multiple systems? What were the systems involved and how did you handle differences in data formats, keys, or structures?</li><li>Have you worked with architects or technical teams to define how a data solution should be built? What was your role in that process?</li></ul>Work Location: In person

Senior Data Integration ( technical team and client handling) – Customer 360 Platform

FIN Hospitality

Company: Oil &amp; GasLocation: QatarDepartment: Corporate ITJob Overview:The Data Warehouse Expert will lead the data management, integration, governance, and operations workstreams of the Plant Data Management (PDM) project &ndash; a strategic &ldquo;Smart Plant&rdquo; initiative to create a single source of truth for all critical engineering and production data. This senior role requires a seasoned professional with at least 10 years of experience in data management in the oil &amp; gas industry. A strong background in Microsoft data warehousing technologies and an understanding of plant operational processes are essential for successKey Responsibilities:<ul><li>Evaluate the PDM project infrastructure-related components of bidder proposals, ensuring alignment with Dolphin Energy&rsquo;s architecture, data standards, &amp; operational requirements.</li><li>Lead the implementation of single source of truth, focusing on MS technologies including Azure, Microsoft 365, MSSQL, &amp; Power Platform in collaboration with implementation partners.</li><li>Collaborate with the solution enterprise architect to make sure the data warehouse design aligns with the overall solution architecture and IT infrastructure.</li><li>Lead the central repository architecture for integrated data from multiple sources (e.g. SAP, real-time systems, spreadsheets) in line with the PDM project requirements</li><li>Define the data models (schemas, tables, cubes) and storage strategy (on-premises MS SQL Server with potential hybrid cloud) to support reporting and analytics.</li><li>Ensure the configuration of ETL/ELT pipelines (using Microsoft SSIS or Azure Data Factory) to extract data from source systems, transform it, and load it into the warehouse.</li><li>Establish a robust data governance framework within the PDM scope, defining data ownership for different data domains (ensuring business stakeholders are identified as data owners), set up data stewardship roles if needed, and enforce policies for data usage, retention, and lifecycle management.</li><li>Enforce compliance with the company&rsquo;s cybersecurity and data privacy policies</li><li>Work to achieve high availability of the data platform. Implement redundancy and failover mechanisms as appropriate (clustering, backups, mirrored databases, etc.). Ensure disaster recovery plans are in place</li><li>&sect; Develop and implement data governance policies, standards, and procedures.</li><li>&sect; Collaborate with data owners and stewards to define data definitions, classifications, and quality rules.</li><li>&sect; Monitor data quality metrics and lead initiatives to resolve data issues.</li><li>&sect; Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and internal policies.</li><li>&sect; Maintain data catalogs, metadata repositories, and data lineage documentation.</li><li>&sect; Support data governance tools and platforms, ensuring proper configuration and usage.</li><li>&sect; Conduct training and awareness programs to promote data governance best practices.</li><li>&sect; Design and implement frameworks that enable secure, self-service access to data across departments.</li><li>&sect; Promote data literacy by developing training materials and conducting workshops on data usage and governance.</li><li>&sect; Support the deployment and adoption of data catalog and self-service BI tools.</li><li>&sect; Define and manage role-based access controls to balance data accessibility with security.</li><li>&sect; Act as a liaison between IT, data teams, and business stakeholders to and ensure relevant data is discoverable and usable.</li><li>&sect; Participate in data governance councils and cross-functional working groups, to align data strategy with business goals.</li><li>&sect; Provide guidance on data stewardship responsibilities and best practices.</li></ul>Required Qualifications:Educational Background:<ul><li>Bachelor&rsquo;s degree in Information Management, Computer Science, Business, or a related field.</li><li>3+ years of experience in data governance, data management, or a related discipline.</li><li>Strong understanding of data governance frameworks.</li><li>Familiarity with data privacy laws and regulatory requirements.</li><li>Experience with data governance.</li><li>Excellent communication, collaboration, and problem-solving skills.</li><li>Ability to work independently and manage multiple priorities in a fast-paced environment.</li></ul>Expected Experience<ul><li>10+ years of experience in data management roles, including data warehouse development, system integration, and IT project management.</li><li>5+ Experience must be in the oil &amp; gas industry, dealing with industrial or enterprise data.</li></ul>Technical Skills<ul><li>Deep expertise in Microsoft Data Warehouse technologies &ndash; MS SQL Server, SQL Server Integration Services (SSIS) for ETL, SQL Server Analysis Services (SSAS) for OLAP, and SQL querying/tuning</li><li>Strong knowledge of relational and dimensional data modeling. Ability to design normalized schemas for staging and integration, as well as star/snowflake schemas for analytics.</li><li>Experience with handling large datasets (hundreds of gigabytes to terabytes) efficiently (partitioning, indexing strategies, etc.)</li><li>Hands-on experience integrating multiple systems and platforms Microsoft BizTalk, SAP, &amp; SharePoint online.</li><li>Experience implementing data governance policies and using tools for data quality and metadata management</li><li>Proficient in project management practices</li><li>Certified Data Management Professional (CDMP)</li><li>Data Governance and Stewardship Professional (DGSP)</li><li>Certified Information Privacy Professional (CIPP)</li></ul>Soft Skills:&sect; Excellent analytical and research skills.&sect; Strong communication skills to collaborate with cross-functional teams.&sect; Strong presentation skillsPay: QAR15,000.00 - QAR20,000.00 per monthWork Location: In person

Data Warehouse Expert

Children's Hospital of Philadelphia

<div>SHIFT:
Day (United States of America)
Seeking Breakthrough Makers 
 
Children&rsquo;s Hospital of Philadelphia (CHOP) offers countless ways to change lives. Our diverse community of more than 20,000 Breakthrough Makers will inspire you to pursue passions, develop expertise, and drive innovation. 
 
At CHOP, your experience is valued; your voice is heard; and your contributions make a difference for patients and families. Join us as we build on our promise to advance pediatric care&mdash;and your career. 
 
CHOP does not discriminate on the basis of race, color, sex, national origin, religion, or any other legally protected categories in any employment, training, or vendor decisions or programs. CHOP recognizes the critical importance of a workforce rich in varied backgrounds and experiences and engages in ongoing efforts to achieve that through equally varied and non-discriminatory means. 
 
A Brief Overview 
The analytics engineer acts as a bridge between a data engineer and a data analyst. This position is primarily responsible for modeling raw data sets into curated, reusable, trusted data sets which power analytics across the enterprise. These data sets will serve as the single source of truth for data and enable self-service analytics. In addition to the development of data models, this role is responsible for maintaining data quality within these data sets via the use of monitoring, testing, and automation. An additional component of the role is to improve the effectiveness of data analysts and data scientists. This maybe via providing technical expertise in query development, extending data models via the addition of new metrics, and/or consulting on software development practices. The Analytics Engineer owns the entire workflow of data associated with their domain; data pipeline development, ELT performance, timely loading of data sets, and maintenance. 
 
This role will work within various business units and partner with data analysts and data scientist to obtain a deep understanding of operational data and develop scalable data products which empower data-driven decision making across the enterprise.
This department works approximately 80% remotely, 20% on site in our Philadelphia offices on an as-needed basis. 
 
What you will do<ul><li>
Collaborate with business subject matter experts, data analysts, and data scientists to understand/identify the opportunities to develop well-defined, integrated, re-usable data sets which power analytics.</li><li>
Codify reusable data access patterns to speed up time to insights.</li><li>
Perform Logical and Physical data modeling with an agile mindset.</li><li>
Build automated, scalable, test-driven ELT pipelines.</li><li>
Utilize software development practices such as version control via Git, CI/CD, and release management</li><li>
Build data products using various visualization, BI tools and data science tools.</li><li>
Collaborate with Data Engineers, DevOps engineers and architects on improvement opportunities for DataOps tools and frameworks.</li><li>
Implement data quality frameworks and data quality checks.</li><li>
Help define analytical product roadmap to drive the business goals and superior quality outcomes.</li><li>
Work with Data Scientists, Statisticians and Machine learning engineers to implement/scale advanced algorithms to solve health care, operational and quality challenges.</li><li>
Work independently and effectively manage ones time across multiple priorities and projects.</li><li>
Make recommendations about platform adoption, including technology integrations, application servers, libraries, and frameworks.</li><li>
Participate in a shared production on-call support model.</li><li>
Be a critical part of a scrum team in an agile environment, ensuring the team successfully meets its deliverables each sprint.</li></ul>
Education Qualifications<ul><li>
Bachelor's Degree - Required</li><li>
Bachelor's Degree Computer Science, Informatics, Information Systems or another quantitative field - Preferred</li></ul>
Experience Qualifications<ul><li>
At least three (3) years of experience working in Data and analytics landscape - Required</li><li>
At least six (6) years of experience working in Data and analytics landscape - Preferred</li><li>
At least one (1) year of experience working with at least one of the public cloud platforms such AWS/Azure/GCP - Preferred</li></ul>
Skills and Abilities<ul><li>
Strong SQL, Data Modeling and Data Warehousing fundamentals.</li><li>
Experience with software development practices; version control, code review, CI/CD</li><li>
Experience with data integration tools: DBT, Informatica, MS Integration Services etc.</li><li>
Experience with big data toolset: Hadoop, Spark, Kafka, Hive, sqoop etc.</li><li>
Experience working with Business Intelligence Tools (Business Objects) or Visualization tools such as Qlik, Tableau, PowerBI etc.,</li><li>
Experience with stream-processing systems: IBM Streams, Flume, Storm, Spark-Streaming, etc.</li><li>
Good hands-on experience with Linux (RHEL/Debian) operating system</li><li>
Ability to code with other scripting languages such as Python, Bash, groovy etc.,</li><li>
Experience consuming and building APIs</li><li>
Experience utilizing Agile methodology for development</li></ul> 
To carry out its mission, CHOP is committed to supporting the health of our patients, families, workforce, and global community. As a condition of employment, CHOP employees who work in patient care buildings or who have patient facing responsibilities must receive an annual influenza vaccine. Learn more. 
 
EEO / VEVRAA Federal Contractor | Tobacco Statement
SALARY RANGE:
$98,820.00 - $126,000.00 Annually
Salary ranges are shown for full-time jobs. If you're working part-time, your pay will be adjusted accordingly.
-
At CHOP, we are committed to fair and transparent pay practices. Factors such as skills and experience could result in an offer above the salary range noted in this job posting. Click here for more information regarding CHOP's Compensation and Benefits.</div>

Analytics Engineer

مجموعة الموسى الصحية

<div></div><div><div>Key Responsibilities
</div><ul><li>Design, build, and maintain data pipelines that extract, transform, and load data from source systems into reporting and analytics environments.
</li><li>Develop and maintain the data warehouse / data mart structure to support operational, clinical, financial, and population health reporting.
</li><li>Integrate data from multiple systems such as:
<ul><li>HIS / EMR
</li><li>ERP / Finance
</li><li>HR systems
</li><li>Laboratory / Radiology / Pharmacy systems
</li><li>Manual and external data sources
</li></ul></li><li>Clean, standardize, and validate data to improve data quality, consistency, and usability .
</li><li>Build and maintain reusable datasets for Power BI dashboards , KPI tracking, and automated reporting.
</li><li>Work with analysts and business stakeholders to translate reporting needs into structured data models.
</li><li>Support the development of:
<ul><li>patient registries
</li><li>physician registries
</li><li>disease registries
</li><li>performance and KPI datasets
</li></ul></li><li>Monitor pipeline performance, troubleshoot failures, and ensure timely data refresh.
</li><li>Document data sources, logic, definitions, and transformations clearly.
</li><li>Participate in data governance efforts, including master data standardization, metric definitions, and access controls.
</li><li>Ensure compliance with organizational policies related to data privacy, security, and confidentiality .
</li></ul><div>Required Qualifications
</div><ul><li>Bachelor&rsquo;s degree in:
<ul><li>Computer Science
</li><li>Data Engineering
</li><li>Information Systems
</li><li>Software Engineering
</li><li>or related field
</li></ul></li><li>Proven experience in data engineering, ETL development, or database development
</li><li>Strong SQL skills
</li><li>Experience with data integration and transformation tools
</li><li>Experience working with relational databases and large datasets
</li><li>Experience supporting BI/reporting environments
</li></ul><div>Preferred Qualifications
</div><ul><li>Experience in healthcare, hospital, or EMR/HIS data environments
</li><li>Experience with:
<ul><li>Microsoft SQL Server
</li><li>Azure Data Factory
</li><li>SSIS
</li><li>Python
</li><li>Power BI backend support
</li></ul></li><li>Familiarity with healthcare data domains such as visits, billing, orders, labs, diagnoses, procedures, and registries
</li><li>Understanding of data warehouse concepts such as:
<ul><li>star schema
</li><li>fact and dimension tables
</li><li>data modeling
</li><li>data lineage
</li></ul></li></ul><div>Key Skills
</div><ul><li>Strong SQL and database skills
</li><li>ETL / ELT pipeline development
</li><li>Data modeling
</li><li>Problem-solving and troubleshooting
</li><li>Attention to detail
</li><li>Documentation and organization
</li><li>Ability to work with both technical and non-technical stakeholders
</li><li>Understanding of data quality and governance principles
</li></ul><div>Core Deliverables
</div><ul><li>Reliable automated data pipelines
</li><li>Clean and validated reporting datasets
</li><li>Structured data models for dashboards and KPIs
</li><li>Better accessibility of data across departments
</li><li>Reduced manual reporting effort
</li><li>Improved readiness for enterprise analytics and value-based care initiatives</li></ul></div>

Data Engineer

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