Engineer Consultant

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.

Eligibility:

• Only IIT / NIT graduates
• Immediate joiners preferred

Mandatory Skills:

• Strong experience in Core Java
• Spring Boot & Microservices
• REST APIs
• SQL / Relational Databases
• Data Structures & Algorithms
• Strong problem-solving skills
• Experience in designing scalable backend applications

Good to Have:

• Cloud (AWS/Azure/GCP)
• Kafka / Messaging Systems
• Docker & Kubernetes

Interested candidates who meet the above criteria can share their updated resume along with:

• Total Experience
• Current CTC
• Expected CTC
• Notice Period
• Current Location

Required skills / knowledge

• Experienced in software development and proficient in one or more of the following

programming languages - Python, JAVA and/or Perl.

• Experience with SDLC (software development lifecycle) best practices with large software

development projects is a must.

• Good knowledge in Computer Science fundamental

• Good organizational and English communication skills, prioritization of multiple projects and

objective.

Preferred skills / knowledge:

• Knowledge of storage technologies and disciplines namely, Fibre Channel, ISCSI, SCSI, NFS, CIFS,

POSIX, Object Storage, SAS, SATA, FLASH (NVME, SSD, etc.), RAID, Erasure Coding,

Distributed/Scale-out Storage, File systems, High-availability methods, working knowledge of

databases etc. are strongly preferred. Understanding networking protocols and connectivity

preferred.

• System Architecture experience within enterprise UNIX (RHEL)/Windows Server environments,

Container environments (RH Open Shift/Kubernetes/Docker, etc.) and Cloud environments

(Azure/AWS/Google) is highly desirable but not required.

• Understanding of Client/Server, Scaleout architectures, virtualization, performance and capacity

management strongly preferred.

• Good knowledge and experience of using Linux provisioning and system configuration

management tools such as Ansible, Puppet, Salt Stack, or Chef strongly preferred. Experience in

automation of a large-scale Linux deployment is preferred.

• Effective troubleshooting skills across O/S, network and storage.

• Knowledge in the following vendor products is preferred but not required: NetApp

7mode/cDOT/Engenio, IBM Spectrum Scale (aka GPFS), HDS Storage Arrays/HCP, EMC Atmos,

Brocade SAN/FOS, Veritas Storage Foundation Suite

We are looking for a Senior Quality Assurance Engineer who is passionate about delivering high-quality software products. You will be responsible for ensuring that our applications meet business and technical requirements through effective testing strategies, automation, and collaboration with development teams.

 Key Responsibilities

• Design, develop, and execute test plans, test cases, and test scripts.
• Perform manual and automated testing for web and mobile applications.
• Identify, report, and track bugs using bug-tracking tools.
• Work closely with developers, product managers, and stakeholders to ensure quality delivery.
• Conduct regression, functional, integration, and performance testing.
• Improve QA processes and testing standards across projects.
• Mentor junior QA team members when required.
• Ensure timely delivery with high product quality.

🛠 Required Skills & Qualifications

• Minimum 3+ years of experience in Software Testing / Quality Assurance.
• Strong knowledge of Manual Testing and Automation Testing.
• Experience with tools like Selenium, Cypress, Postman, JMeter, etc.
• Understanding of SDLC, STLC, Agile methodologies.
• Experience in API testing and database testing is a plus.
• Good communication and problem-solving skills.
• Ability to work from office and collaborate with cross-functional teams.

⭐ Good to Have

• Experience with CI/CD pipelines.
• Knowledge of performance and security testing.
• Exposure to cloud platforms is a plus.

💼 What We Offer

• Work from Office environment with a collaborative culture.
• Opportunity to work on real-world, scalable products.
• Learning and growth opportunities.

• Deep knowledge and working experience in any of Adobe Marketo or Hybris Marketing or Emarsys platforms with end to end hands-on implementation and integration experience including integration tools
• Other platforms of interest include Adobe Campaign Emarsys Pardot Salesforce Marketing Cloud and Eloqua
• Hybris Marketing or Adobe Marketo Certification strongly preferred
• Experience in evaluating different marketing platforms (e.g. Salesforce SFMC versus Adobe Marketo versus Adobe Marketing) 
• Experience in design and setup of Marketing Technology Architecture
• Proficient in scripting and experience with HTML XML CSS JavaScript etc.
• Experience with triggering campaigns via API calls
• Responsible for the detailed design of technical solutions POV on marketing solutions Proof-of-Concepts (POC) prototyping and documentation of the technical design
• Collaborate with Onshore team in tailoring solutions that meets business needs using agile/iterative development process
• Perform feasibility analysis for the marketing solution that meet the business goals
• Experience with client discovery workshops and technical solutions presentations
• Excellent communication skills required as this is a client business & IT interfacing role

• Acting as a central point and facilitator for all financial reporting
• Helping develop detailed dashboards and KPIs and ensuring robust systems to track and monitor impact, financial and operating information
• Preparing necessary materials and information for the Board
• Ensuring robust governance norms are in place
• Ensuring timely and comprehensive financial reporting to all the funders, as outlined in contracts with funding agencies
• Preparing statements and necessary reports for the investors
• Coordinating with and responding in a time-bound manner to the information requested by investors
• Managing cash flows and treasury functions
• Managing banking relationships
• Developing profit center-wise budgets
• Preparing and maintaining regular financial reports; monthly expense forecast by segment (vs. projections); rolling 3-month cash out-flow forecast
• Maintaining of books of accounts through Tally/ Quickbooks and related activities
• Incorporating profit center wise reporting and analysis in the accounting system to separately track the performance of each activity against budget/projections
• Conducting all month-end closing activities including general ledger maintenance, balance sheet reconciliations, fixed asset verification, and corporate/overhead cost allocation
• Ensuring timeliness, accuracy, and usefulness of financial and management reporting
• Preparing of month-end, quarter-end, and year-end financial statements
• Managing payroll and employee reimbursements
• Assisting in computing taxes and preparing tax returns (TDS, GST, Professional Tax, etc.)
• Reviewing and streamlining the financial, reporting, and compliance functions
• Developing and documenting robust accounting policies and procedures
• Ensuring maintenance of appropriate internal controls and financial procedures, at all times
• Serving as a key point of contact for internal and external auditors
• Managing preparation and support of all internal and external audits
• Participating in HR Administration in areas such as PF, offer letters, increments, appraisals, insurance policies, etc
• Managing the company’s assets, leases, and insurance coverage
• Reviewing all agreements and MoUs and appraise the management about any financial liability, prior to commitments made and signatures by authorized signatories
• Overseeing Admin, vendor, and office management to manage various facets of business – travel, corporate gifting, printing & stationery, etc

Desired Candidate Profile

• Qualified Chartered Accountant
• 5+ years of experience that is relevant to the above role
• Experience in a startup is preferred
• Good understanding of, interest in, and aptitude for financial accounting, business, and financial analysis, GST, Income Tax, Companies Act, etc.
• Attention to detail, strong analytical skills, business awareness, and problem-solving skills
• Strong oral and written communication skills
• Ability to work under pressure and deliver high-quality work with tight timelines

Are you a hands-on, flexible contributor who is comfortable operating in a fast-paced relationship culture? Then read on:

What you need to have: