Digital Marketing Internship

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.

Position Summary : Accountant

Current Location: Bangalore

Job Location: Bangalore

Experience: 2-3 years

Notice Period: 0-15 days and Immediate joiners only

Note: This role is open only to candidates with corporate experience and strong knowledge of US GAAP.

About the Role

The successful candidate will have the opportunity to expand their responsibilities by demonstrating consistent and reliable performance. The role will initially perform the duties outlined below and with time will be expanded to deliver insight, lead projects, and drive change required by a rapidly growing Company.

Responsibilities

• Maintain the general ledger in accordance with US GAAP by accurately and timely processing transactions through the system and by preparing and posting manual journal entries in QuickBooks.
• Daily management of the Accounting inbox.
• Code Vendor invoices and schedule payments with BILL, an intelligent accounts payable platform.
• Review payroll reports from the payroll provider, Justworks, and prepare journal entries.
• Process and record bank transactions.
• Customer invoicing and payments application.
• Prepare balance sheet reconciliations such as cash, prepaid, accruals, capital assets, deferred revenue and more.
• Understand and project cash timing differences between the income statement, balance sheet, and cash flow statement.
• Review and prepare excel files analyzing general ledger data, payroll, revenue and other data.
• Respond to questions from employees, vendors, and customers.
• Support the annual tax preparation and GAAP audit processes.
• Assist with reporting, budgeting, forecasting and ad-hoc financial analysis.
• Assist in preparing monthly & quarterly financials, analyzing trends, and explaining variances as documented in the management reporting package. This includes a specific focus on drivers of trends and variances to budget.

Qualifications

• B. Com or a similar qualification with 2-3 years’ experience. Public accounting experience a plus. CPA or CA highly preferred.

Required Skills

• Knowledge of and experience applying US GAAP(mandate), generally accepted accounting principles.
• Experience in QuickBooks, Sage Intacct, ZOHO or similar systems experience preferred.

Preferred Skills

• Good communication and problem-solving skills.
• Self-motivated, comfortable working through ambiguity and comfortable providing alternative points of view.
• Detail focused and organized in nature.
• Collaborative, respectful, high integrity, and humility.
• Strong English written, oral, and listening communication skills.
• Comfortable working through change in a deadline focused environment.
• Ability to periodically work in US Central time zones.
• Ability to follow direction and offer perspective on new initiatives.

Senior JAVA Developer

EXP- 10+ YRS

Location - Pan India

Job Summary:

We are seeking a highly skilled Senior Java Developer with extensive experience in Java, Spring Boot Microservices, and modern integration technologies. The ideal candidate will have strong expertise in Kafka, IBM MQ, cloud platforms (OCP, Azure), and CI/CD automation. This role involves designing scalable solutions, integrating third-party APIs, and ensuring robust application performance.

Key Responsibilities:

Design and develop Java-based microservices using Spring Boot.

2 to 3 years in React

Implement RESTful APIs and integrate third-party APIs securely and efficiently.

Build and manage CI/CD pipelines using GitHub Actions and Jenkins.

Deploy and manage applications on OpenShift (OCP) and Azure Cloud.

Work with Kafka for event-driven architecture and IBM MQ for messaging solutions.

Develop and optimize SQL queries and work with IBM DB2 databases.

Collaborate using Jira for agile project management.

Write and maintain Scala code for backend or data processing tasks.

Ensure adherence to best practices in coding, security, and performance tuning.

Required Skills & Experience:

10+ years of strong experience in Java and Spring Boot Microservices.

Hands-on experience with Kafka and IBM MQ for messaging and streaming.

Proven experience in GitHub Actions, Jenkins, and CI/CD automation.

Expertise in OpenShift (OCP) and Azure Cloud platforms.

Strong knowledge of SQL, IBM DB2, and database optimization techniques.

Experience in third-party API integration and secure communication protocols.

Familiarity with Jira for agile workflows.

Proficiency in Scala programming.

Excellent communication and problem-solving skills.

• Cultivating solid relationships with clients through the provision of exceptional service.
• Should be open to travel and explain the products of clients to relevant stakeholders
• Creating a positive onboarding experience for new clients.
• Regularly interacting with clients and their audience through telephone calls, email communications, or face-to-face meetings.
• Identifying ways to overcome clients' challenges
• Maintaining an accurate record of all existing and potential clients.
• Responding to client inquiries in a timely and professional manner.
• Training and providing overall guidance to other fellow members.
• Organizing training seminars to enable clients to engage with the stakeholders
• Should be proficient in using excel.
• Should have 1-3 years of experience
• Mediator between the clients and different departments in the organization.

Fulfil’s software engineers develop the next-generation technologies that change how millions of customer orders are fulfilled by merchants. Our products need to handle information at massive scale. We're looking for engineers who bring fresh ideas from all areas into our technology.

As a senior software engineer, you will work on our python based ORM and applications that scales to handle millions of transactions every hour. This is mission critical software and your primary focus will be building robust and scalable solutions that are easy to maintain.

In this role, you will be collaborating closely with the rest of the team working on different layers of infrastructure in an international environment. Therefore, a commitment to collaborative problem solving, sophisticated design, and quality product are important.

What You’ll Do:

• Own definition and implementation of API interfaces (REST and GraphQL). We take pride in our 100% open API with over 600 endpoints.
• Implement simple solutions to complex business logic that enables our merchants to manage financials, orders and shipments across millions of transactions.
• Build reusable components and packages for future use.
• Translate specs and user stories into reviewable, test covered patches.
• Peer review code and refactor existing code.
• Integrate with our eCommerce partners (Shopify, BigCommerce, Amazon), shipping partners (UPS, USPS, FedEx, DHL) and EDI.
• Manage Kubernetes and Docker based global deployment of our infrastructure.

Requirements We’re Looking for Someone With:

• Experience working with ORMs like SQLAlchemy or Django (2-3 years)
• Experience with SQL and databases (Postgres preferred)
• Experience in developing large server side applications and microservices
• Ability to create high quality code
• Experience with python testing tools (pytest) and test automation
• Familiarity with code versioning tools like GIT
• Strong sense of ownership and leadership quality
• Experienced in the tools of our web stack- Python, Celery, Postgres, Redis, RabbitMQ

Nice to Haves:

• Prior experience at a growth stage Internet/Software company
• Experience with ReactJS, Google Cloud, Heroku
• Cloud deployment and scaling experience*

Technical knowledge

• Design and implement software components using up-to-date technologies and best practices.
• Comprehensive understanding of the REST architecture.
• Strong working experience in Angular,HTML5, CSS3
• Strong working experience in Container Orchestration Management on-premise and public cloud (Docker, Kubernetes or similar)
• Overall understanding of the Service Oriented Architecture
• Experience with widely used design patterns.
• Should possess prior experience in building distributed multi-tier applications with single sign-on.
• Continuous Integration (CI) and Automated Deployment on AWS/Azure
• Static and dynamic code quality analysis
• Should understand the dynamics of the full-stack development and guide junior team members.
• Experience in developing enterprise-scale software platforms
• Should have hands-on experience in managing releases.
• Build applications using Azure Services and deploy them on Azure Infrastructure.