data modeling specialist

CyberData Technologies Inc

<p></p><div><div><p>CyberData Technologies, Inc., an established technology solution provider based in Reston, Virginia, is looking to expand its growing team. We are a primary government consultant and infrastructure support contractor. Our employees are our greatest asset and we are committed to their professional development and growth. We provide competitive salaries, bonuses, generous benefit packages, and paid time off to balance work and personal commitments.</p><br>
<p></p>
<p></p><p><b>Job Title: Modeling and Simulation Specialist</b></p>
<p><b>
Company:</b> CyberData Technologies<br>
<b>Location:</b> Remote<br>
<b>Employment Type:</b> Full-Time</p>
<p><b>
Position Overview</b></p>
<p>
CyberData Technologies is seeking a highly analytical and detail-oriented <b>Modeling and Simulation Specialist</b> to support evaluation, research, and data analysis efforts for diabetes prevention programs led by the <b>Centers for Disease Control and Prevention (CDC)</b>. This position plays a key role in designing applied research methods, developing statistical models, managing large datasets, and simulating outcomes to evaluate the impact of chronic disease prevention interventions, particularly for the <b>National Diabetes Prevention Program (National DPP)</b>.</p>
<p>
The ideal candidate will combine technical acumen with strong statistical and public health expertise, enabling the delivery of high-impact insights that inform national policy and program improvement.</p>
<p><b>
Key Responsibilities</b></p>
<p><b>
Applied Research &amp; Evaluation Design</b></p>
<ul>
<li>Develop methodologies to assess the <b>effectiveness and utilization</b> of diabetes prevention interventions.</li>
<li>Design and implement data collection instruments for both <b>quantitative and qualitative</b> data (e.g., focus groups, interviews, surveys).</li>
<li>Analyze evaluation and implementation data using advanced statistical and modeling techniques to generate insights for decision-making.</li>
<li>Prepare <b>concept papers, reports, manuscripts</b>, and detailed recommendations for improving program design and delivery.</li>
<li>Identify <b>best practices</b> and formulate data-driven policy recommendations for national translation efforts, including the <b>National DPP</b> and <b>Diabetes Self-Management Education</b> programs.</li>
</ul>
<p><b>Statistical Analysis, Modeling &amp; Data Simulation</b></p>
<ul>
<li>Conduct <b>advanced data modeling and simulation</b> to evaluate diabetes risk factors, program outcomes, and potential policy impacts in underserved communities.</li>
<li>Design and maintain <b>relational databases</b> for data storage, manipulation, retrieval, and quality control across multiple platforms and networks.</li>
<li>Write custom programs in <b>SAS</b>, <b>SQL</b>, <b>R</b>, and other statistical tools to automate data processing, generate reproducible analytics, and produce Standard Operating Procedures (SOPs).</li>
<li>Collaborate with evaluators, statisticians, and program stakeholders to define evaluation questions, build scalable data pipelines, and ensure rigorous methodology.</li>
</ul>
<p><b>Data Visualization &amp; Dissemination</b></p>
<ul>
<li>Create compelling visualizations (dashboards, charts, GIS maps, motion graphics) using <b>Tableau</b>, <b>SAS Visual Analytics</b>, and <b>ArcGIS</b>.</li>
<li>Summarize findings into user-friendly products for internal staff, CDC leadership, and external stakeholders.</li>
<li>Present research at <b>local, regional, and national conferences</b>, contributing to the national evidence base on diabetes prevention and public health modeling.</li>
</ul>
<p><b>Minimum Qualifications</b></p>
<ul>
<li><b>Master&rsquo;s degree</b> in Public Health, Epidemiology, Biostatistics, Applied Mathematics, Health Informatics, or a related field.</li>
<li>Minimum of <b>2 years</b> of experience in:</li>
<ul><li>Applied public health research</li>
<li>Statistical modeling and simulation</li>
<li>Evaluation of chronic disease programs</li>
</ul><li><b>Proficiency in:</b></li>
<ul><li><b>Statistical software:</b> SAS (required), R, SUDAAN, Stata</li>
<li><b>Data management &amp; querying:</b> SQL (required), MS Access, SQL Server</li>
<li><b>Visualization tools:</b> Tableau, SAS Visual Analytics, ArcGIS (preferred)</li>
<li>Programming languages such as C+ or similar (desirable)</li>
</ul><li>Strong knowledge of:</li>
<ul><li>Research and evaluation methods</li>
<li>Implementation science</li>
<li>Health data standards and data privacy practices</li>
</ul><li>Excellent writing, communication, and project management skills.</li>
<li>Experience with qualitative and quantitative data integration preferred.</li>
</ul>
<p><b>Work Environment</b></p>
<ul>
<li><b>Client:</b> Centers for Disease Control and Prevention (CDC)</li>
<li><b>Remote:</b> Yes (100%)</li>
<li><b>Travel:</b> May include occasional conference or stakeholder meetings</li></ul><br>
<p></p>
<p></p><p><br>
Principal applicants only. Please no agencies, 3rd party, or staffing firms.</p><br>
<p></p>
<p>
CyberData is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.</p></div></div><p></p>

Data Modeling and Simulation Specialist - CDC

Capgemini

<div><div><div><p>Bangalore</p><div>
Data Modeling</div><p>
</p></div></div><div></div><div><div><div><div><div><p>
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world&rsquo;s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&amp;D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.</p><div><div><div><div>
Job Description</div></div><div><p><b>
Key Responsibilities:</b></p><ul><li>
Define and evolve <b>logical and physical data models</b> for core entities (parts, tools, stations, processes, plans, versions).</li><li>
Create <b>semantic data layers</b> that support AI agent reasoning, Copilot queries, and planner views.</li><li>
Model <b>versioning-aware relationships</b> &mdash; enable tracking of change history, deltas, and rollback paths.</li><li>
Design <b>graph and document models</b> for relationships and dependencies (e.g., part station variant mappings).</li><li>
Collaborate with engineering teams to ensure <b>data models match service contracts</b> (GraphQL/REST APIs).</li><li>
Partner with AI/ML team to support <b>knowledge graph, embeddings, and metadata tagging</b>.</li><li>
Define standards for <b>schema evolution, validations, canonical references</b>, and <b>entity resolution</b>.</li><li>
Contribute to a central <b>data dictionary</b> and <b>model governance framework</b> for all teams.</li></ul><p><b>
Required Skills:</b></p><ul><li>
Expertise in <b>data modeling techniques</b>: ER diagrams, star/snowflake schemas, graph models, document structures.</li><li>
Hands-on with <b>PostgreSQL</b>, <b>MongoDB</b>, <b>Neo4j</b>, and <b>Redis</b> &mdash; know when to use what.</li><li>
Familiarity with <b>data modeling tools</b>: ER/Studio, dbt, http://dbdiagram.io , Lucidchart.</li><li>
Experience in <b>version-controlled data models</b>, soft deletes, entity lineage, and temporal modeling.</li><li>
Strong understanding of <b>microservice boundaries</b> and <b>data contract ownership</b>.</li></ul><ul><li>
Modeling systems for <b>manufacturing</b>, <b>PLM</b>, or <b>ERP-style</b> applications (BOMs, process structures, routing).</li><li>
Exposure to <b>semantic layer / ontology modeling</b> for AI platforms.</li></ul>
Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.</div></div><div><div><div>
Job Description - Grade Specific</div></div><div><p>
Has more than five years of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.</p></div></div></div><p>
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</p></div></div><div><div><div>
<div><div>Ref. code</div><div>
397990-en_GB</div></div><div><div>
Posted on</div><div>
18 Feb 2026</div></div><div><div>
Experience level</div><div>
Experienced Professionals</div></div><div><div>
Contract type</div><div>
Permanent</div></div><div><div>
Location</div><div>
Bangalore</div></div><div><div>
Business unit</div><div>
Engineering and RandD Services</div></div><div><div>
Brand</div><div>
Capgemini Engineering</div></div><div><div>
Professional communities</div><div>
Software Engineering</div></div></div></div></div></div></div></div></div><p></p>

Data Modeling

PwC Acceleration Center India

<div>
 <p>
  <strong>
   Kindly apply if you have Wherescape Red/3D, Informatica or Snowflake experience.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role: Senior Associate
  </strong>
 </p>
 <p>
  <strong>
   Tower:
  </strong>
  Data Analytics &amp; Insights Managed Service
 </p>
 <p>
  <strong>
   Experience:
  </strong>
  6 &ndash; 10 years
 </p>
 <p>
  <strong>
   Key Skills:
  </strong>
  Data Engineering, Data Modeling (Data Vault 2.0)
 </p>
 <p>
  <strong>
   Educational Qualification:
  </strong>
  Bachelor&rsquo;s degree in computer science / IT or relevant field
 </p>
 <p>
  <strong>
   Work Location:
  </strong>
  Bangalore, India
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Description
  </strong>
 </p>
 <p>
  As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution using Data, Analytics &amp; Engineering capabilities. PwC Professional skills and responsibilities for this management level include but are not limited to:
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Demonstrate critical thinking and the ability to bring order to complex, unstructured data problems.
  </li>
  <li>
   Review data engineering deliverables, data models, and transformation logic for quality and accuracy.
  </li>
  <li>
   Own status reporting, milestone tracking, and delivery governance for assigned workstreams.
  </li>
  <li>
   Adherence to SLAs with experience in incident, change, and problem management within managed services.
  </li>
  <li>
   Review own work and that of others for data quality, modeling standards, and architectural alignment.
  </li>
  <li>
   Demonstrate sound judgment in selecting appropriate tools and patterns and clearly articulate rationale.
  </li>
  <li>
   Seek and embrace opportunities providing exposure to diverse platforms, industries, and delivery models.
  </li>
  <li>
   Communicate in a clear, structured manner when influencing stakeholders and team members.
  </li>
  <li>
   Build and maintain strong client relationships by adapting communication and leadership style.
  </li>
  <li>
   Uphold the firm&rsquo;s code of ethics and business conduct.
  </li>
  <li>
   Demonstrate leadership by working directly with clients and leading data engineering engagements.
  </li>
  <li>
   Work collaboratively in a team environment with cross-functional and cross-competency teams.
  </li>
  <li>
   Actively contributes to COE initiatives, accelerators, standards, and best practices.
  </li>
  <li>
   Proactively manage risks, escalations, and dependencies across delivery.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Position Requirements
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Primary Skills (Mandatory): Data Vault 2.0 (Hubs, Links, Satellites, Business Vault); dbt
  </strong>
  (core/cloud),
  <strong>
   WhereScape (RED/3D);
  </strong>
  <strong>
   Informatica
  </strong>
  (PowerCenter/IDMC); Cloud Data Warehouse, Advanced SQL, ELT and CDC, Orchestration (Bhoomi), Git and CI/CD for data
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Secondary Skills:
  </strong>
  Teradata, Python, SSIS, ServiceNow, Jira, Healthcare insurance domain knowledge (payer: claims, eligibility, provider, HIPAA)
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills &amp; Experience:
  </strong>
 </p>
 <ul>
  <li>
   Minimum 6 years of experience in enterprise data engineering and managed data &amp; analytics programs.
  </li>
  <li>
   Lead the design, review, and governance of Data Vault 2.0 architectures, including: (Hubs, Links, Satellites), Business Vault constructs Downstream consumption and semantic layers
  </li>
  <li>
   Strong experience in WhereScape and Informatica for data ingestion, transformation, orchestration, and automation.
  </li>
  <li>
   Ability to translate business requirements into scalable data models and transformation designs, particularly in the health insurance domain (claims, members, providers, policies).
  </li>
  <li>
   Guide teams in implementing best practices for data modeling, historization, auditability, and scalability.
  </li>
  <li>
   Provide technical oversight for data pipeline performance, reliability, and data quality.
  </li>
  <li>
   Support and influence migration strategy from traditional ETL to dbt and cloud-native ELT architectures.
  </li>
  <li>
   Partner with DevOps and platform teams to enable CI/CD, version control, automated testing, and controlled deployments.
  </li>
  <li>
   Strong expertise in writing and reviewing complex SQL and transformation logic.
  </li>
  <li>
   Experience delivering Managed Data &amp; Analytics services, including SLA-driven support and enhancements.
  </li>
  <li>
   Lead requirement discussions with business and technology stakeholders; manage dependencies and delivery risks.
  </li>
  <li>
   Effectively communicate project status, risks, and outcomes throughout the delivery lifecycle.
  </li>
  <li>
   Strong analytical thinking, problem-solving ability, and stakeholder management skills.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to Have
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Experience with dbt implementation or migration programs.
  </li>
  <li>
   Cloud certifications (Azure / AWS / GCP / Snowflake).
  </li>
  <li>
   Exposure to data governance, metadata management, lineage, and data quality frameworks.
  </li>
  <li>
   Experience working in regulated environments (Health Insurance, Healthcare, HIPAA).
  </li>
  <li>
   DevOps or DataOps certifications or hands-on exposure.
  </li>
 </ul>
 <p>
 </p>
</div>


Data Engineer

VALUEMOMENTUM Inc

<div><div><b>Job Title:</b> Data Modeler
</div><div><b>Job ID:</b> POS-17485</div>
<div><b>Primary Skill:</b> Erwin</div><br>
<br>
<div><p>Key Skills: Data Modelling, SQL, Tools (Erwin OR ER/Studio)<br>
Job Location: Hyderabad/Pune/Coimbatore/Bangalore<br>
Mode of Work: Work From Office(5 Days)</p><p>
Experience: 8-12 Years</p>
<p>About the job:<br>
We&rsquo;re seeking a hands‑on Data Modeler to design and evolve enterprise‑grade data models that make diverse source data consumption‑ready for reporting, analytics, and advanced insights. You will translate business requirements into conceptual, logical, and physical designs (3NF and dimensional), establish and enforce data standards and naming conventions, and collaborate across Architecture, BA, Engineering, and DBA teams to deliver performant, governed, and scalable models.</p><br>
<p>Know your team:</p><p>
At ValueMomentum Technology Solution Centers, we are a team of passionate software engineering teams who thrive on tackling complex business challenges with innovative solutions catering to the P&amp;C insurance value chain. We achieve this through a strong software engineering foundation and by continuously refining our processes, methodologies, tools, agile delivery teams, and core engineering archetypes. Our core expertise lies in six key areas: Platforms, Infra/Cloud, Application, Data, Core, and Quality Assurance.</p><br>
<p>Join our team that invests in your growth. Our Infinity Program empowers you to build your career with role-specific skill development, leveraging immersive learning platforms. You'll have the opportunity to work with some of the best minds serving insurance customers in the US, UK and Canadian markets.</p><br>
<p>Responsibilities:</p><ul><li><b>
Model design &amp; documentation:</b> Create ERDs and data models (conceptual, logical, physical) for relational (3NF) and dimensional (star/snowflake) structures; maintain comprehensive documentation (data dictionaries, entity/attribute catalogs, glossaries).</li><li><b>
Multi source harmonization:</b> Analyze and reverse engineer &ldquo;as is&rdquo; structures from varied source systems; design canonical and conformed models to unify and standardize data for enterprise use.</li><li>
Requirements translation: Partner with Information Architecture and Business Analysis to convert business concepts into precise technical designs, S2T (source to target) mappings, and DDL with clear integrity rules.</li><li><b>
Physical design alignment:</b> Work with Data Architects and DBAs to validate physical design choices (partitioning, indexing, constraints) and ensure alignment to performance, reliability, and governance SLAs.</li><li>
Analytics &amp; reporting enablement: Model aggregated and hierarchical structures and define fact/dimension layers, including SCD policies and conformed dimensions, to power BI, self service, and operational reporting.</li><li><b>
Standards &amp; governance:</b> Establish and enforce enterprise data standards (definitions, naming, keys, relationships), embed data quality and lineage considerations, and support stewardship and audit needs.</li><li>
Reference/master data: Define approaches to unify identifiers and entities across systems (golden record rules, survivorship, conformance strategies).</li><li><b>
Collaboration &amp; leadership:</b> Guide onshore/offshore contributors on modeling deliverables, review cycles, and documentation; facilitate stakeholder reviews and sign offs.</li><li>
Continuous improvement: Contribute to modeling standards, templates, and checklists; advocate reusable patterns across subject areas and lines of business.</li></ul><br>
<p>Requirements:
</p><ul><li>Strong data modelling expertise using ER diagrams and tools such as Erwin (or ER/Studio, equivalent).</li><li>
Proven delivery of conceptual, logical, and physical models at enterprise scale, spanning 3NF and dimensional approaches.</li><li>
Ability to gather and translate business requirements into clear technical designs, S2T mappings, and DDL (keys, constraints, indexes).</li><li>
SQL proficiency and deep understanding of database design, normalization, referential integrity, and performance considerations.</li><li>
Experience designing for aggregated &amp; hierarchical reporting, SCD policies, and conformed dimensions.</li><li>
Effective collaboration with Architecture/BA/DBA/Engineering teams; excellent written and verbal communication skills.</li><li>
High attention to detail, consistency, and data quality across large and complex datasets.</li></ul><br>
</div><br>
<div><div><b>About the Company:</b><br>
<br>
Founded in 2000 with the core belief that impactful change comes from deep commitment, ValueMomentum specializes in delivering measurable results across the P&amp;C value stream. For more than 25 years, we have empowered more than 100 carriers to reimagine their businesses with AI and emerging technologies, navigate market shifts, unlock speed to value, and become future-ready. We help insurers in the US, Canada, and Europe stay ahead with sustained growth and high performance to enhance stakeholder value and foster resilient societies. For more information, visit ValueMomentum<br>
</div><br>
<div><b>Benefits:</b><br>
<br>
We at ValueMomentum offer you a congenial environment to work and grow in the company of experienced professionals. Some benefits that are available to you are:
<ul><li>Competitive compensation package.</li>
<li><i>Career Advancement: </i>Individual Career Development, coaching and mentoring programs for professional and leadership skill development.</li>
<li>Comprehensive training and certification programs.</li>
<li><i>Performance Management: </i>Goal Setting, continuous feedback and year-end appraisal. Reward &amp; recognition for the extraordinary performers.</li></ul></div></div></div>

Data Modeler

Envision Employment Solutions

<div><p><b>Envision Employment Solutions</b> is currently looking for a skilled <b>Data Modeling &amp; Testing Developer</b> to join one of our partners, a global leader in the IT Services and IT Consulting.</p><p></p><p><b>
Responsibilities:</b></p><ul><li>
Lead the Development of the Data Models for the Data Warehouse serving different Bank entities (Finance, Risk, Marketing, etc.)</li><li>
Effectively use Data Modeling Tools to create the Data Warehouse Models easily in alignment with the Data Integration Team</li><li>
Leading the process of Planning and leading the assessment, picking and implementation of different Tools.</li><li>
Effectively study new technologies to ensure that Data Strategy team is using cutting edge solutions and current tools are maintained and with the latest features.</li><li>
Ensure data is handled ethically and all processes are undertaken in compliance with company policy, internal controls, data protection legislation and relevant national / industry standards.</li><li>
Leading the process of Planning and Leading the Design, Analysis and Development of different Solutions to ensure that Bank is Data Driven. Handle Scoping, negotiations and implementation with Vendors for acquiring new Tools.</li><li>
Identify opportunities through which to deliver process efficiency / improvement and develop business proposals through which to communicate and deliver the change.</li><li>
Build and maintain strong collaborative relationships with senior internal stakeholders, subject matter experts and external clients.</li></ul><br>
<b>
Requirements</b><br>
<ul><li><ul><li>
Teradata is preferred</li><li>
3+ years of experience with DWH and 2+ years of experience in Data Architecture and Solution design.</li><li>
Strong knowledge and awareness of new technologies and tools.</li><li>
Excellent numerical and analytical skills, including the use of both statistical tools and technology for analysis.</li><li>
Sourcing, acessessing and manipulating data and engineering data processes.</li></ul></li></ul></div><p></p>

Data Modeling & Testing Developer

TECHSTRA SOLUTIONS

<div><b>Role Overview</b><br>
The Senior Data Engineer with deep expertise in AxiomSL is to support regulatory reporting initiatives within a complex banking and financial services environment. This role is responsible for designing, developing, and maintaining AxiomSL data sources, components, and regulatory reports while ensuring data integrity, traceability, and compliance with federal regulatory requirements. The ideal candidate combines strong AxiomSL platform experience with advanced SQL, data modeling proficiency, and the ability to troubleshoot large-scale data integration challenges across disparate source systems.<br>
 <b>Key Responsibilities</b><br>
 AxiomSL Development &amp; Platform Management<ul><li>
Design, develop, enhance, and upgrade AxiomSL data sources, portfolios, aggregates, and report templates.</li><li>
Configure and maintain AxiomSL components, data models, and calculation logic to meet regulatory requirements.</li><li>
Support AxiomSL platform upgrades, patching, and environment migrations.</li><li>
Implement automation strategies for report generation, validation, and reconciliation processes.</li></ul>
Regulatory Reporting Delivery<ul><li>
Develop and maintain regulatory reports including FRY-9C, FFIEC 101, 14M, and 14Q.</li><li>
Translate regulatory requirements into technical specifications and AxiomSL data mappings.</li><li>
Partner with Regulatory Reporting, Finance, and Risk teams to validate calculations and reporting outputs.</li><li>
Support internal and external audits with clear data lineage, controls documentation, and traceability.</li></ul>
Data Engineering &amp; Integration<ul><li>
Design and maintain scalable data pipelines feeding AxiomSL from core banking, risk, and finance systems.</li></ul><ul><li>
Perform advanced SQL development for data transformation, aggregation, and validation.</li><li>
Troubleshoot and resolve data quality issues across upstream and downstream systems.</li><li>
Implement reconciliation controls to ensure accuracy, completeness, and timeliness of reported data.</li><li>
Develop robust data models aligned to regulatory reporting and risk aggregation standards.</li></ul>
Data Governance &amp; Quality<ul><li>
Enforce data governance standards including lineage documentation, metadata management, and control frameworks.</li></ul><ul><li>
Conduct root cause analysis for data anomalies and reporting discrepancies.</li><li>
Collaborate with enterprise data management teams to improve data quality and consistency.</li><li>
Establish monitoring and automation mechanisms to proactively identify reporting issues.</li></ul>
Production Support &amp; Continuous Improvement<ul><li>
Provide L2/L3 production support for AxiomSL regulatory reporting cycles.</li><li>
 Participate in month-end, quarter-end, and regulatory submission processes.</li><li>
Identify opportunities for performance optimization and process automation.</li><li>
Contribute to documentation, knowledge transfer, and platform stability initiatives.</li></ul>
 <b>Required Qualifications/</b><b>Skills</b><ul><li>
5+ years of experience in data engineering within banking or financial services</li><li>
3+ years of hands-on AxiomSL development experience</li><li>
Strong experience developing regulatory reports (FRY-9C, FFIEC 101, 14M/Q)</li><li>
Advanced SQL expertise (complex joins, CTEs, performance tuning, data transformations)</li><li>
Strong understanding of data modeling principles (dimensional and relational models)</li><li>
Experience integrating multiple source systems into regulatory reporting platforms</li><li>
Proven ability to troubleshoot complex data quality and reconciliation issues</li><li>
Experience working in controlled, audit-sensitive regulatory environments</li></ul><br>
<b>
Preferred Qualifications</b><ul><li>
Experience supporting Federal Reserve or OCC regulatory submissions</li><li>
Familiarity with BCBS 239 principles and regulatory data aggregation standards</li><li>
Experience with automation tools or scripting (Python, shell scripting, workflow orchestration tools)</li><li>
Knowledge of enterprise ETL tools and data warehousing platforms</li><li>
Experience with cloud-based data platforms (AWS, Azure, or GCP)</li><li>
 Familiarity with Agile delivery methodologies</li></ul><br>
<b>
Locations:</b> Pittsburgh, PA<br>
<br>
<b>About Techstra Solutions</b><br>
Techstra Solutions is a certified woman-owned (WBENC) management consulting firm specializing in strategy, technology, and implementation services for large organizations undergoing digital and talent transformation. Our experienced team partners with clients to co-create innovative solutions in applications, data, AI, and automation that accelerate measurable, sustainable change. From advisory consulting through technical execution, we are dedicated to driving world-class business solutions that fit your strategic requirements and deliver results. For more information: www.techstrasolutions.com<p><b>
Equal Employment Opportunity Statement</b></p>
<p>Techstra Solutions is an equal opportunity employer. The Company makes its decisions on merit, and its policy of equal opportunity prohibits discrimination in all phases of the employment process, including, but not limited to, recruitment, hiring, promotion, selection, transfer, demotion, layoff, termination, compensation, benefits, and other terms and conditions of employment. The policy of equal opportunity applies without regard to race, color, creed, religion, gender, sexual orientation, gender identification, pregnancy, marital status, national origin, ancestry, age, disability that can reasonably be accommodated without undue hardship, military status, veteran status, genetic predisposition or carrier status, alienage or citizenship, domestic partnership status, arrest or conviction record, status as a victim of domestic violence, or any other protected categories under federal, state, or local law. The Company also prohibits discrimination or harassment based upon the perception that a person has, or is associated with a person who has, any of these characteristics.</p><p>
</p><p>qw9oC0zAe8</p></div>

Senior Data Engineer – AxiomSL Development

ENFUSE SOLUTIONS PRIVATE LIMITED

<p>Hi,We have an opportunity for an <b>Data Annotation </b>Profile, details below:</p><p><b>If you're interested, kindly acknowledge this email.</b> <b>Role: </b>Data Annotation<b>Work Location: Mira Road </b></p><p><b>Shifts:</b> Flexible Night Shift <b>(5 days working)</b><br/><b>Contract: 6 Months</b></p><p><b>Company Website: </b>https://www.enfuse-solutions.com/ <b>About EnFuse:</b> EnFuse is on a mission to help its clients transform their businesses into genuinely digital-driven enterprises. With more than 25 years of cumulative experience in digital transformation, EnFuse empowers its clients to take advantage of data-intensive business processes. We offer a broad range of digital services and integrated solutions across Enterprise Data Management, eCommerce &amp; Web Operations, Analytics &amp; Competitive Intelligence, and Business Support Processes. With domain expertise and cutting-edge technology, we enable our clients to reap the best out of digital transformation to overcome their essential cost reduction challenges and create more value for businesses.As an IT Recruitment Specialist at EnFuse Solutions, you will play a pivotal role in sourcing, screening, and selecting exceptional candidates to meet our clients' IT staffing needs. You will leverage your expertise in the IT industry to identify top talent, build strong candidate pipelines, and facilitate seamless<br/><b>About the Role:</b><br/>We are seeking a highly detail-oriented and experienced Senior Associate &ndash; Tagging&amp;Annotation to join our growing data operations team. This role focuses on accurate labellingand annotation of insurance-related documents and datasets,playing a critical part intraining high-performing AI/ML models. The ideal candidate will bring a deep understanding of the insurance domain&mdash;terms,workflows, and document types&mdash;alongside proven annotationexperience with complex data structures.</p><p><b>Key Responsibilities:</b></p><ul><li>Perform tagging and annotation of insurance-related documents such as policies, claims, underwriting forms, and other records.</li><li>Learn and apply insurance-related terms, document structures, and workflows while working on data.</li><li>Follow clear annotation guidelines and ensure accuracy in labeling tasks.</li><li>Collaborate with senior team members, data scientists, and engineers to support annotation projects.</li><li>Participate in quality checks and reviews to ensure consistency in outputs.</li><li>Gain hands-on experience with annotation tools (e.g., Labelbox, CVAT, or other internal platforms).</li><li>Maintain productivity and meet daily/weekly targets.</li></ul><p><b>Requirements:</b></p><ul><li>Strong attention to detail and willingness to learn.</li><li>Basic understanding of the insurance domain (policies, claims, underwriting, etc.) will be a plus.</li><li>Good communication and teamwork skills.</li><li>Ability to follow processes and guidelines accurately.</li></ul><p>Job Types: Full-time, Fresher, Contractual / Temporary<br/>Contract length: 6 months</p><p>Pay: ₹50,000.00 - ₹180,000.00 per year</p><p>Work Location: In person</p>

Data Annotation Specialist

Search 10000+ Data modeling specialist jobs near you this March. New roles added regularly across leading industries. Apply today.