11+ VAT Jobs in Coimbatore | VAT Job openings in Coimbatore

Responsible for completing the UK Year End accounts as per the timeline with zero errors as per the tasks allocated by client manager or dot manager.

Prompt communication for all the queries pertaining to the job and resolving the queries.

Ensure client and dot managers are informed about leave absence in advance and the work at hand is completed.

To timely fill timesheet and utilise the time to complete the jobs effectively.

Sending an updated work email to client manager and dot manager respectively.

Knowledge of Preparing UK Year-End working paper.

Posting of bank transactions into the bookkeeping software’s such as- Payments, Receipts, Deposits Bank Fees, etc. and reconciling Bank Accounts. 

Detailed knowledge of filling Vat returns with HMRC.

Exporting Reports on Excel Spreadsheet and PDF generated from the Software.

Knowledge of running the UK payroll is an advantage but not essential. Feedback and resolve any issues or conflicts.

SENIOR DATA ENGINEER:

ROLE SUMMARY:

Own the design and delivery of petabyte-scale data platforms and pipelines across AWS and modern Lakehouse stacks. You’ll architect, code, test, optimize, and operate ingestion, transformation, storage, and serving layers. This role requires autonomy, strong engineering judgment, and partnership with project managers, infrastructure teams, testers, and customer architects to land secure, cost-efficient, and high-performing solutions.

RESPONSIBILITIES:

• Architecture and design: Create HLD/LLD/SAD, source–target mappings, data contracts, and optimal designs aligned to requirements.
• Pipeline development: Build and test robust ETL/ELT for batch, micro-batch, and streaming across RDBMS, flat files, APIs, and event sources.
• Performance and cost tuning: Profile and optimize jobs, right-size infrastructure, and model license/compute/storage costs.
• Data modeling and storage: Design schemas and SCD strategies; manage relational, NoSQL, data lakes, Delta Lakes, and Lakehouse tables.
• DevOps and release: Establish coding standards, templates, CI/CD, configuration management, and monitored release processes.
• Quality and reliability: Define DQ rules and lineage; implement SLA tracking, failure detection, RCA, and proactive defect mitigation.
• Security and governance: Enforce IAM best practices, retention, audit/compliance; implement PII detection and masking.
• Orchestration: Schedule and govern pipelines with Airflow and serverless event-driven patterns.
• Stakeholder collaboration: Clarify requirements, present design options, conduct demos, and finalize architectures with customer teams.
• Leadership: Mentor engineers, set FAST goals, drive upskilling and certifications, and support module delivery and sprint planning.

REQUIRED QUALIFICATIONS:

• Experience: 15+ years designing distributed systems at petabyte scale; 10+ years building data lakes and multi-source ingestion.
•  Cloud (AWS): IAM, VPC, EC2, EKS/ECS, S3, RDS, DMS, Lambda, CloudWatch, CloudFormation, CloudTrail.
• Programming: Python (preferred), PySpark, SQL for analytics, window functions, and performance tuning.
• ETL tools: AWS Glue, Informatica, Databricks, GCP DataProc; orchestration with Airflow.
• Lakehouse/warehousing: Snowflake, BigQuery, Delta Lake/Lakehouse; schema design, partitioning, clustering, performance optimization.
• DevOps/IaC: Terraform with 15+ years of practice; CI/CD (GitHub Actions, Jenkins) with 10+ years; config governance and release management.
• Serverless and events: Design event-driven distributed systems on AWS.
• NoSQL: 2–3 years with DocumentDB including data modeling and performance considerations.
• AI services: AWS Entity Resolution, AWS Comprehend; run custom LLMs on Amazon SageMaker; use LLMs for PII classification.

NICE-TO-HAVE QUALIFICATIONS:

• Data governance automation: 10+ years defining audit, compliance, retention standards and automating governance workflows.
• Table and file formats: Apache Parquet; Apache Iceberg as analytical table format.
• Advanced LLM workflows: RAG and agentic patterns over proprietary data; re-ranking with index/vector store results.
• Multi-cloud exposure: Azure ADF/ADLS, GCP Dataflow/DataProc; FinOps practices for cross-cloud cost control.

OUTCOMES AND MEASURES:

• Engineering excellence: Adherence to processes, standards, and SLAs; reduced defects and non-compliance; fewer recurring issues.
• Efficiency: Faster run times and lower resource consumption with documented cost models and performance baselines.
• Operational reliability: Faster detection, response, and resolution of failures; quick turnaround on production bugs; strong release success.
• Data quality and security: High DQ pass rates, robust lineage, minimal security incidents, and audit readiness.
• Team and customer impact: On-time milestones, clear communication, effective demos, improved satisfaction, and completed certifications/training.

LOCATION AND SCHEDULE:

●      Location: Outside US (OUS).

●      Schedule: Minimum 6 hours of overlap with US time zones.

The AI Trainer will be responsible for delivering engaging and practical training sessions on Artificial Intelligence to students of the School of Innovation. The role includes designing content, conducting hands-on sessions, mentoring students on real-world AI projects, and staying updated with AI trends and tools.

Role - Relationship & Wealth Manager

About Client:

Our client is leading Indian investment services company having wide array of products and services such as distribution of mutual funds & insurance, equity and derivatives, commodity, PMS and financial planning.

Roles and Responsibilities:

- Acquire new clients, generate revenue, and maintain relationships with High-Net-Worth Individuals (HNI) and Ultra High Net Worth Individuals (UHNI), Corporate Treasuries.

- Enhance and build on Existing Bank tie-ups.

- Offer comprehensive wealth management services.

- Enhance the relationship value of existing customers.

- Ensure increased wallet share to prevent devaluation of securities.

- Analyze client portfolios, assess risk appetite, and provide tailored advice on wealth products.

Location: Mumbai, Pune, Hyderabad, Bangalore, Delhi, Chennai, Coimbatore, Kerala, Kolkata, Nashik.

Qualification:

- MBA Finance, CA, CS or with relevant work experience in managing Investment Products. (2 -15 years of experience)

- Proficiency related to wealth products (e.g., Mutual funds, PMS's, AIF's, Structured Products, Direct Equities, Offshore investments, Risk protection management solutions).

- Build and maintain an extensive external network to stay connected with clients.

- Demonstrate a service-oriented attitude, delivering smooth and superior service.

- Ability to analyse client data, market trends, and stay updated on current market conditions.

- Proven track record in sales, particularly in the private banking or wealth management sector.

- Strong interpersonal and communication skills.

- Relevant financial certifications or qualifications (e.g., CFP, CFA) is a plus.

- Knowledge of regulatory compliance in the financial services industry.

- Excellent organizational and time-management skills

•  Work experience as a Java Developer.
•  Experience designing, building and testing Java EE applications.
•  In-depth knowledge of popular Java frameworks like JSF and Spring MVC.
•  Very good understanding of design patterns Hands on experience on ORM framework
•  Design and develop reusable libraries and APIs.
•  Experience with Object-Oriented Design (OOD).
•  Experience on handling exceptions Experience on handling transaction
•  Excellent knowledge of Relational Databases, SQL and ORM technologies ( JPA2, Hibernate)

#HiringNow

We are looking "Branch Manager - Sales" for Reputed Client @ Permanent Role.

Experience :3+ Years

•Justify the budget of total sales designed by organization for the branch cost MoM which are sales + revenue + MF + franchisee acquisition + branch profitability.

•Source HNI clients and franchisee every month.

•Generate good revenue for the company as per the expectations and promote all the products of the company.

•Work on improving the sales number at branch level.

Location : Coimbatore

We are seeking a skilled MERN Full Stack Developer to join our dynamic team. The ideal candidate will be proficient in both front-end and back-end technologies and possess a passion for developing high-quality web applications. As a MERN Full Stack Developer, you will be responsible for designing, developing, and maintaining robust web applications using the MERN stack.

Responsibilities:

• Collaborate with cross-functional teams to define, design, and ship new features.
• Develop user-facing features using React.js.
• Build reusable components and front-end libraries for future use.
• Design and implement responsive user interfaces.
• Develop and maintain server-side architecture using Node.js and Express.js.
• Integrate data storage solutions using MongoDB.
• Implement RESTful APIs and GraphQL for efficient communication between front-end and back-end systems.
• Optimize applications for maximum speed and scalability.
• Implement security and data protection measures.
• Troubleshoot and debug issues across the entire stack.
• Stay up-to-date with emerging technologies and best practices.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).
• Proven experience as a Full Stack Developer or similar role.
• Strong proficiency in JavaScript and its modern ES6+ syntax.
• Extensive experience with React.js and its core principles.
• Experience with popular React.js workflows (such as Flux or Redux).
• Solid understanding of server-side development using Node.js and Express.js.
• Experience with NoSQL databases, particularly MongoDB.
• Familiarity with RESTful APIs and GraphQL.
• Knowledge of authentication and authorization mechanisms.
• Experience with version control systems (e.g., Git).
• Excellent communication and collaboration skills.
• Ability to work independently and as part of a team in a fast-paced environment.
• Strong problem-solving skills and attention to detail.

Preferred:

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes).
• Familiarity with CI/CD pipelines.
• Experience with testing frameworks (e.g., Jest, Mocha).
• Understanding of Agile methodologies.