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JOB SUMMARY:  The Senior Associate supports the Data Analytics Manager by proposing relevant analytics procedures/tools, executing the analytics and also developing visualization outputs for audits, continuous monitoring/auditing and IA initiatives. The individual’s responsibilities include -

Understanding audit and/or project objectives and assisting the manager in preparing the plan and timelines.

Working with the Process/BU/IA teams for gathering requirements for continuous monitoring/auditing projects.

Working with Internal audit project teams to understand the analytics requirements for audit engagements.

Independently build pilot/prototype, determine appropriate visual tool and design the views to meet project objectives.

Proficient in data management and data mining.

Highly skilled on visualization tools like Qlik View, Qlik Sense, Power BI, Tableau, Alteryx etc.

Working with Data Analytics Manager to develop analytics program aligned to the overall audit plan.

Showcasing analytics capability to Process management teams to increase adoption of continuous monitoring.

Establishing and maintaining relationships with all key stakeholders of internal audit.

Coaching other data analysts on analytics procedures, coding and tools.

Taking a significant and active role in developing and driving Internal Audit Data Analytics quality and knowledge sharing to enhance the value provided to Internal Audit stakeholders.

Ensuring timely and accurate time tracking.

Continuously focusing on self-development by attending trainings, seminars and acquiring relevant certifications.

Role Summary

We are hiring a Data Engineer / ML Data Pipeline Engineer to build and operate the data backbone of the Enterprise AI platform:

What You'll Own

• Ingestion & ETL/ELT pipelines for heterogeneous project folders (PDF drawings, SVG files, IFC models, BBS.json bar-bending-schedule data, Excel exports, and AI agent output JSON).
• AWS-based data architecture: S3 raw/staging/curated/outputs structuring, partitioning, versioning, and lifecycle management; querying via Athena/Glue and warehousing via Redshift or Snowflake as needed.
• Data validation frameworks: GUID cross-referencing between SVG and BBS data, schema enforcement, duplicate/orphan detection, reference integrity checks, and structured validation reporting.
• Agent run logging & observability: designing the database schema and pipelines that track every AI agent run (inputs, outputs, status, errors, cost, retries, reviewer feedback).
• AI Factory monitoring dashboards: operational dashboards (failure rates, retries, latency, data quality) and business dashboards (throughput, cost per run, rework rate) for Power BI/QuickSight or equivalent.
• ML data pipeline support: dataset preparation, labeling/annotation workflows, human-in-the-loop review tooling, and dataset versioning for models that classify or QC drawing issues.
• APIs: designing and building FastAPI/Flask endpoints to trigger validation runs and expose agent processing status to internal tools.
• Data quality & testing discipline: idempotent pipelines, quarantine/reject handling, regression and reconciliation testing, and root-cause debugging when pipelines or query performance degrade in production.

Key Skills — Non-Negotiable (Must-Have, Strong Level)

• Python — production-grade scripting: file/folder handling, JSON/schema processing, clean error handling, not just notebook-level scripting.
• SQL — strong hands-on ability, including GROUP BY/HAVING for duplicate detection, window functions, and daily aggregate/rate calculations (e.g., success-rate queries).
• AWS S3 data handling — practical experience structuring buckets for raw/staging/curated data, versioning, and avoiding overwrite issues at scale.
• Data validation — demonstrable experience building validation logic (set comparisons, duplicate/missing detection, structured pass/fail reporting), not just "I write assertions."
• ETL/ELT pipeline design — end-to-end ownership of at least one pipeline: source → transform → storage → validation → monitoring → business outcome, with clear articulation of what they personally built.
• Query/warehouse engine judgment — working knowledge of when to use Athena vs. Redshift vs. Snowflake (or equivalent), partitioning, clustering, sort/distribution keys, and storage format trade-offs (Parquet vs. JSON vs. CSV).

Key Skills — Good to Have

• Dashboarding — Power BI / QuickSight (or equivalent) fact/dimension table design, KPI cards, drill-downs; medium-to-strong level is a plus but trainable.
• FastAPI / Flask — building real endpoints with request/response schemas and basic error handling; especially valuable for validation-trigger and agent-status APIs.
• ML data pipeline experience — dataset labeling, annotation platform design, train/test/validation splitting, dataset versioning; strong on the pipeline/data side rather than model training itself.
• Human-in-the-loop / review tooling — experience building or contributing to browser-based labeling/review platforms (session persistence, label schema, export formats).
• Large-scale metadata querying — experience making file discovery fast across large volumes (1,000+ projects, thousands of files each) via metadata index tables, event-based ingestion, or catalog tools like AWS Glue.

We are looking for experienced professionals with strong expertise in Adobe Experience Platform / Adobe Campaign to join our team for AMEX Chennai. The ideal candidate should have overall 7+ years of IT experience with at least 2+ years of hands-on Adobe implementation experience.

Key Responsibilities

• Design, develop, and implement solutions using Adobe Experience Platform / Adobe Campaign.
• Build and manage campaigns, journeys, workflows, and audience segmentation.
• Integrate Adobe solutions with other enterprise systems.
• Perform data mapping, transformation, and campaign configuration.
• Troubleshoot campaign issues and optimize performance.
• Collaborate with cross-functional teams including marketing, analytics, and IT.
• Ensure best practices in Adobe implementation and deployment.

Required Skills

• Minimum 7+ years of overall IT experience.
• At least 2+ years of hands-on experience with:
• Adobe Campaign (Classic / Standard) OR
• Adobe Experience Platform (AEP)
• Strong understanding of customer data platforms and marketing automation.
• Experience in SQL and data handling.
• Knowledge of API integrations and REST services.
• Good understanding of campaign workflows, audience creation, and reporting.

Roles & Responsibilities

• Administer and manage VMware / Omnissa VDI environments
• Manage and support Horizon infrastructure (Prod, DR, Non-Prod)
• Configure and maintain:
• Horizon desktop and application pools
• App Volumes
• DEM (Dynamic Environment Manager)
• Perform VDI monitoring, troubleshooting, and health checks
• Manage Thin / Zero clients and related updates
• Support VDI disaster recovery activities
• Work on vSphere (ESXi & vCenter) as required for VDI workloads
• Assist with upgrades, patching, and maintenance of VDI components
• Maintain documentation and follow SOPs
• Coordinate with internal teams for VDI-related projects and issues

Required Skills & Experience

Mandatory (Hands-On)

• VMware / Omnissa Horizon – High
• App Volumes – High
• DEM (Dynamic Environment Manager) – High

What is expected from you :

● Strong Consultative selling skills including excellent relationship building, networking

and time management skills

● Excellent Conflict Resolution and Negotiation skills

● Strong Team Player

● Excellent in Business communications and email etiquette

● Exposure to LinkedIn and other Job portals

● Ability to generate B2B leads

● Experience in Lead Research and Prospecting

● Experience in cold calling, email campaigns, and using social media to generate leads.

● Knowledge of Recruitment

● Data Maintenance and organization skills

● MBA qualification or Experience in Business development is preferred

What will you be doing?

● Handle end-to-end B2B business Development, right from prospecting to closing

deals

● Acquire new clients through networking, direct contact, or from marketing campaigns

● Establish long-term engagement with clients with multiple products

● Build and nurture client relationships via various channels

● Coordinating with multiple internal stakeholders on a daily basis

● Cross-selling and Upselling to existing clients into other GUVI services

● Develop and implement marketing plans designed to maintain and increase existing

business and capture new opportunities

Job Description

Roles & Responsibilities

Eligibility

Company Introduction

• Responsible for development of new highly responsive, web-based user interface
• Construct visualizations that can depict vast amounts of data
• Work and collaborate with the rest of the engineering team
• Work with product team and graphic designers
• Learn and understand user interactions
• Develop a flexible and well-structured front-end architecture, along with the APIs to support it

Requirements and qualifications

• B.S Degree in Computer Science
• Experience with JavaScript
• Experience with REACT
• Experience with HTML / CSS
• Experience with REST API's
• Git knowledge is a plus
• Team player
• Good time-management skills
• Great interpersonal and communication skills