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Must have good knowledge of GST Act and expertise in excel and tally

Should have experience in dealing with GST department

Should have experience in handling GST audit

Preparation of data for filing of GSTR 1 & GSTR 3B

Role: Taxation Executive

Industry Type: Accounting / Auditing

Department: Finance & Accounting

Employment Type: Full Time, Permanent

Role Category: Accounting & Taxation

Job Description

Job Title: Digital Marketing Team Lead

Company: Web Digital Mantra IT Services Pvt Ltd

Location: Kumaraswamy Layout, Bengaluru

Employment Type: Full-Time

Salary Package: ₹4 LPA – ₹5 LPA

Kannada speaking candidates preferred.

About the Company

We are a fast-growing IT services company specializing in Website Development, Software & Mobile App Development, ERP, CRM & Billing Software, along with Digital Marketing Services such as SEO, Google Ads, Meta Ads, and Social Media Marketing. We work with schools, colleges, SMEs, startups, and enterprises to deliver scalable digital solutions.

Key Role

• We are looking for a dynamic and result-oriented Digital Marketing Team Lead to join our growing team at Web Digital Mantra IT Services Pvt Ltd. The ideal candidate should have strong experience in team handling, client coordination, and digital marketing strategy execution.
• The candidate will be responsible for leading the digital marketing team, managing client communication, overseeing campaigns, and ensuring successful delivery of marketing projects across multiple digital platforms.

Key Responsibilities

• Lead and manage the digital marketing team to achieve campaign goals and business targets
• Coordinate with clients to understand requirements, provide updates, and maintain strong professional relationships
• Plan, execute, and monitor digital marketing campaigns across various channels
• Handle SEO, social media marketing, paid campaigns, content marketing, and lead generation activities
• Track campaign performance using analytics tools and prepare performance reports
• Ensure timely project delivery and maintain quality standards
• Collaborate with the design, content, and development teams for campaign execution
• Conduct market research and competitor analysis to improve marketing strategies
• Mentor team members and support their professional development
• Manage online brand presence and improve customer engagement

Required Skills

• Strong leadership and team management skills
• Excellent client handling and communication abilities
• Knowledge of SEO, SEM, Google Ads, Meta Ads, and social media marketing
• Experience in campaign planning and performance analysis
• Familiarity with digital marketing tools such as Google Analytics, Search Console, Canva, CRM tools, etc.
• Strong problem-solving and multitasking skills
• Good presentation and reporting abilities
• Ability to work in a fast-paced environment

Preferred Qualifications

• Bachelor’s degree in Marketing, Business Administration, Communications, or related field
• 2–4 years of experience in Digital Marketing
• Prior experience in team leadership or client coordination is preferred

Benefits

• Provident Fund (PF) provided
• Employee Insurance provided
• Career growth opportunities
• Supportive and collaborative work environment
• Exposure to diverse client projects and digital technologies
• Paid leaves and company holidays
• Opportunities to work with international clients
• Skill development and learning opportunities

Additional Information

Work Timing: 10:00 AM – 7:00 PM

Work Mode: Work from Office

Role Overview

The Data / Business Analyst plays a key role in Customer’s Data Hub initiative, supporting the delivery of standardized, trusted, and compliant regulatory data across the organization. This role act as the bridge between business requirements, data governance, and technical implementation ensuring that data pipelines, models, and mappings are accurate, validated, and ready for business use.

Key Responsibilities

Collaborate with source system owners and regulatory stakeholders to gather and refine data pipeline requirements.

Translate data pipeline requirements into epics and stories ready for refinement in Jira.

Lead backlog refinement sessions with data architects, domain leads, and scientists to prioritize data ingestion and transformation activities.

Define story structure to comprise the requirements of the work to be done and the definition of done and the different types of tasks relevant for the domain to accomplish with their associated roles, documented in a Confluence page.

Endorse the role of agile scrum master for the RDH team: coach team members in self-management, organize high-value increments in sprints meeting the definition of done

Identify and document potential data issues including quality, normalization, duplication, completeness, or governance gaps and share findings with the Data Domain and platform Lead.

Work closely with Data Architects to define and document the data transformation pipeline architecture.

Support the Data Architect in defining and maintaining the data models used across regulatory use cases by reviewing proposed changes and evaluate their relevance towards new requirements.

Support the review phase led by the Data Domain Lead, verifying that the regulatory and business context is preserved across transformed datasets.

Validate that all data mappings and transformations meet regulatory compliance, data quality, and analytical readiness standards.

Collaborate with Data Scientists to define mapping logic for regulatory entities such as substances, studies, and documents.

Review the design of quality control pipelines, ensuring mapping accuracy and alignment with analytical expectations.

Key Deliverables

Comprehensive and well-documented data pipeline and transformation specifications

Defined and validated data models and business-aligned mapping definitions

Clear and traceable backlog refinement inputs and prioritization documentation

Continuous collaboration and feedback loop with the Data Domain Lead, Platform Lead and Data Science teams

Skills and Qualifications

Bachelor’s degree in data analytics, computer science

5+ years of experience in data or business analysis e.g., Life Sciences, Agrochemical, or Pharma domain

Demonstrated expertise in data transformation pipelines, and data quality frameworks

Familiarity with metadata management and data governance principles

Strong analytical skills, with the ability to translate business requirements into technical deliverables

Excellent communication and documentation skills, with experience collaborating across disciplines e.g. Data Scientists, Architects, Domain Leads, Platform Leads

A collaborative and proactive approach, comfortable working in iterative, agile environments

High attention to detail with strong problem-solving capabilities

Self-motivated and adaptable, able to navigate ambiguity and evolving project priorities in a complex data environment

Responsibilities

• Provide technology contributions in
• Working in an agile development environment
• Translating business requirements into low-level application design
• Application code development through a collaborative approach
• Doing Full-scale unit testing
• Applying test-driven and behaviour-driven development (TDD/BDD) QA concepts
• Applying continuous integration and continuous deployment (CI/CD) concepts

Soft Skills

• Should be able to contribute as an individual contributor
• Should be able to execute his/her responsibility independently
• Excellent problem-solving skills and attention to detail.
• Focus on self-planning activities
• Firm with communication skills

Mandatory Skills

• Java, Spring Boot, Python and relational / non-relational databases
• Container orchestration - Kubernetes, Docker
• Development experience in Linux environment
• Modern SDLC tooling (Maven, Git)
• Micro services design-oriented application development and deploying the same using Container orchestration in the cloud environment
• Understanding CI/CD pipeline & related system development environment

Nice-to-have Skills

• Front-end technologies (JavaScript, HTML5, CSS, Angular)

Eligibility Criteria: • Years of Experience: 5-8 years on software development •

Educational Qualification: Bachelor’s degree in engineering Job Summary:

• We're seeking an experienced Angular Developer to join our team. The ideal candidate will have a strong background in developing scalable, efficient, and high-quality applications using Angular. The candidate will be responsible for handling projects, understanding requirements, and delivering solutions that meet our high standards. Primary Responsibilities:

• Design, develop, test, and deploy applications using Angular. • Collaborate with cross-functional teams to define, design, and ship new features.

• Translate requirements into technical specifications and implement solutions.

• Write clean, maintainable, and efficient code that adheres to our coding standards.

• Understand and assess requirements delivered by Product Owner. • Implement and integrate image processing libraries such as Fabric.js, Two.js, and Three.js.

• Create and manage interactive charts using libraries like Plotly and D3.js.

• Implement complex image processing algorithms and integrate image editing tools.

• Optimize application performance and ensure high-quality user experiences.

• Implement CI/CD pipelines on Azure to streamline development processes.

• Troubleshoot and resolve issues in a timely manner. Mandatory Skills: • 5-8 years of experience in Angular development.

• Solid understanding of web development fundamentals (HTML, CSS, JavaScript).

• Proficiency in image processing libraries such as Fabric.js, Two.js, and Three.js.

• Strong experience with charting libraries like Plotly and D3.js. • Excellent problem-solving skills and debugging techniques. • Strong communication and collaboration skills.

• Capable of independently handling and efficiently overseeing projects.

• Hands-on experience with CI/CD pipelines on Azure. • Team oriented personality with excellent interpersonal and communication skills. Desirable Skills:

• Knowledge of Node.js • Knowledge with Azure cloud platform. Req ID: • Experience in using UI mock-up creation software’s • Canvas and SVG Designing. •

Knowledge on Semiconductor equipment industry. • Knowledge of containerization using Docker. • Familiarity with databases such as MongoDB or MySQL. •

Familiarity with agile development methodologies. What We Offer: • Competitive salary and benefits package.

• Opportunity to work on challenging projects and contribute to our company's growth. •

Collaborative and dynamic work environment. • Professional development opportunities and training.

• Flexible working hours and remote work options. If you're a motivated and talented Angular and Node Developer looking for a new challenge, please submit your application, including your resume and a brief cover letter

• Automate and maintain ML and Data pipelines at scale
• Collaborate with Data Scientists and Data Engineers on feature development teams to containerize and build out deployment pipelines for new modules
• Maintain and expand our on-prem deployments with spark clusters
• Design, build and optimize applications containerization and orchestration with Docker and Kubernetes and AWS or Azure

• 5 years of IT experience in data-driven or AI technology products
• Understanding of ML Model Deployment and Lifecycle
• Extensive experience in Apache airflow for MLOps workflow automation
• Experience is building and automating data pipelines
• Experience in working on Spark Cluster architecture
• Extensive experience with Unix/Linux environments
• Experience with standard concepts and technologies used in CI/CD build, deployment pipelines using Jenkins
• Strong experience in Python and PySpark and building required automation (using standard technologies such as Docker, Jenkins, and Ansible).
• Experience with Kubernetes or Docker Swarm
• Working technical knowledge of current systems software, protocols, and standards, including firewalls, Active Directory, etc.
• Basic knowledge of Multi-tier architectures: load balancers, caching, web servers, application servers, and databases.
• Experience with various virtualization technologies and multi-tenant, private and hybrid cloud environments.
• Hands-on software and hardware troubleshooting experience.
• Experience documenting and maintaining configuration and process information.
• Basic Knowledge of machine learning frameworks: Tensorflow, Caffe/Caffe2, Pytorch