11+ Accounting Jobs in Kochi (Cochin) | Accounting Job openings in Kochi (Cochin)
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Job Title: Accounts Executive
Location: Kochi
Salary: ₹20,000–₹23,000/month
Requirements:
- Male candidate with minimum 1 year of accounting experience
- Proficient in Tally and basic accounting principles
- Knowledge of GST filing preferred
- Strong attention to detail and accuracy
Responsibilities:
- Handle day-to-day accounting entries and reconciliations
- Assist in GST returns and financial reports
- Support month-end and year-end financial processes
We are seeking a customer-focused Fashion Consultant to assist customers in selecting apparel that suits their style, needs, and preferences. The role involves delivering excellent customer service, achieving sales targets, and maintaining visual merchandising standards in the store.
Key Responsibilities:
- Greet customers warmly and understand their fashion needs and preferences.
- Provide styling advice and product recommendations to enhance customer satisfaction.
- Promote ongoing offers, new arrivals, and brand collections.
- Achieve individual and store sales targets.
- Maintain store appearance, product displays, and visual merchandising standards.
- Assist customers with trial room management and billing support.
- Handle customer queries, complaints, and returns professionally.
- Ensure accurate stock handling, tagging, and inventory support.
- Follow store policies, grooming standards, and operational guidelines.
Qualifications & Skills:
- Minimum qualification: 12th pass / Diploma / Graduate (preferred).
- Experience: 0–3 years in apparel retail or fashion sales (Freshers welcome).
- Strong communication and interpersonal skills.
- Interest in fashion, trends, and styling.
- Customer-oriented with a positive attitude.
- Ability to work flexible shifts, including weekends and holidays.
Job Title: Azure Logic App Developer
Experience: 4-7 Years
Location: Bangalore, Pune, Kochi
Notice Period: Immediate Joiner/Serving 15 days
Skills:
· 4 years of experience in developing and managing Azure Logic Apps.
· Proficiency in Azure services, including Azure Functions, Azure Service Bus, and Azure Storage.
· Experience in developing .Net/Python Azure Functions
· Strong understanding of RESTful APIs, JSON, and XML.
· Experience with PowerShell scripting and Azure DevOps.
· Excellent problem-solving skills and attention to detail.
· Strong communication and collaboration skills.
· Ability to work independently and as part of a team.
Preferred Qualifications:
· Azure certifications (e.g., Azure Developer Associate, Azure Solutions Architect).
· Experience with other Azure integration services like API Management and Event Grid.
· Knowledge of CI/CD pipelines and automation tools.
Responsibilities:
· Design and build end-to-end integration solutions using Azure Logic Apps, ensuring seamless connectivity across business applications.
· Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.
· Optimize and maintain existing Logic Apps to ensure performance, scalability, and reliability.
· Troubleshoot and resolve issues related to Logic Apps and associated integrations.
· Prepare technical documents, integration guides, test cases, and post-implementation support plans.
· Stay updated with the latest Azure technologies and best practices to continuously improve solutions.
· Participate in code reviews and provide constructive feedback to team members.
· The candidate needs to work in London time zone
Experience Level:
Senior (8+ years)
Job Description:
We are seeking a detail-oriented and highly skilled Senior Salesforce QA Engineer to lead quality
assurance efforts for our Salesforce platform. This role demands expertise in testing Salesforce
applications, configurations, and integrations to ensure exceptional quality standards. The ideal
candidate will have a strong background in Salesforce testing, automation frameworks, and crossfunctional collaboration.
Key Responsibilities:
Test Strategy and Planning:
• Design and implement comprehensive QA strategies tailored to Salesforce ecosystems,
including Sales Cloud, Service Cloud, Marketing Cloud, and custom solutions.
• Develop detailed test plans, cases, and scripts based on business and functional requirements.
Testing Execution:
• Conduct manual and automated testing for Salesforce customizations, Lightning components,
integrations, and third-party applications.
• Execute functional, regression, smoke, system, and integration tests.
Automation Development:
• Build and maintain automated test suites using tools like Selenium, Provar, or other Salesforcecompatible automation tools.
• Integrate test automation into CI/CD pipelines in collaboration with the development team.
Defect Management:
• Identify, document, and track defects using tools like Jira or Azure DevOps.
• Work closely with developers to resolve issues and ensure product quality.
Collaboration and Leadership:
• Mentor junior QA team members, sharing best practices for Salesforce testing.
• Act as a QA representative in Agile ceremonies such as sprint planning, stand-ups, and
retrospectives.
Quality Metrics and Reporting:
• Define and monitor QA metrics, reporting progress and quality insights to stakeholders.
• Ensure compliance with Salesforce best practices and organizational standards.
Primary Skills:
• Strong knowledge of Salesforce functionalities, Lightning Experience, and declarative features.
• Proven experience with manual and automated testing in Salesforce environments.
• Proficiency in test automation tools like Selenium, Provar, or TestNG.
Secondary Skills:
• Familiarity with Salesforce-specific challenges, such as Governor Limits and SOQL queries.
• Basic knowledge of Apex and Visualforce.
• Experience with test management tools (e.g., TestRail or Zephyr) and CI/CD platforms (e.g.,
Jenkins, GitLab)
Data Delivery Manager is responsible for managing and overseeing the end-to-end delivery of data
solutions, from data architecture and ingestion to processing, analysis, and reporting. This role
ensures that data projects are completed on time, within scope, and aligned with business
objectives. The Data Delivery Manager works with cross-functional teams, including data
engineers, analysts, and other stakeholders, to deliver high-quality data solutions. Key
Responsibilities: Project and Program Management: o Lead and manage the delivery of data-
driven projects, ensuring they are completed on time and within budget. o Develop and maintain
project plans, timelines, and resource allocation. o Monitor project progress and proactively
identify risks, implementing solutions to ensure successful project completion. o Ensure alignment
between data initiatives and business goals, maintaining continuous communication with
stakeholders. Stakeholder Engagement: o Serve as the primary point of contact between business
stakeholders and the data team, translating business requirements into technical specifications. o
Collaborate with business leaders to understand data needs and develop solutions that meet
those needs. o Provide regular updates on project status, risks, and key deliverables to
stakeholders and leadership teams. o Facilitate meetings to gather requirements and
communicate project milestones. Data Strategy & Architecture: o Oversee the design and
implementation of data solutions that support business objectives. o Ensure adherence to data
governance and quality standards throughout the data pipeline lifecycle. o Collaborate with data
architects to define scalable, secure, and high-performance data architectures. o Support data
integration initiatives across different platforms, ensuring smooth and efficient data flow. Team
Leadership and Development: o Manage cross-functional teams of data engineers, analysts, and
other professionals to deliver projects effectively. o Provide leadership and mentoring to team
members, fostering a culture of collaboration, innovation, and continuous learning. o Set clear
expectations, performance goals, and career development opportunities for the team. o Address
and resolve any team challenges, ensuring high levels of productivity and motivation. Quality
Assurance: o Ensure the accuracy, reliability, and quality of data solutions by implementing robust
testing, validation, and review processes. o Develop and enforce data standards, best practices,
and methodologies to ensure consistent, high-quality deliverables. o Drive continuous
improvement initiatives, analyzing past projects and identifying areas for enhancement. Risk
Management and Troubleshooting: o Identify potential risks to project delivery, including data
pipeline issues, resource shortages, or technical blockers, and implement mitigation strategies. o
Troubleshoot and resolve data-related issues and challenges during the project lifecycle.
Reporting and Analytics: o Oversee the creation and maintenance of data dashboards, reports, and
performance metrics. o Ensure that data solutions provide actionable insights for the business,
driving informed decision-making. Experience: o 5+ years of experience in managing programs
related to data management, data engineering, or analytics. o Proven track record in managing
data projects and delivering data solutions in a timely manner. o Experience with data integration,
data warehousing, and data modeling. o Strong understanding of data pipeline management, ETL
processes, and data analytics. Skills: o In-depth knowledge of data management tools and
technologies (e.g., SQL, NoSQL, ETL tools, cloud platforms such as AWS, Google Cloud, or Azure).
o Proficient in project management methodologies (Agile, Scrum, Waterfall). o Strong leadership
and team management skills, with the ability to drive collaboration across different functions. o
Excellent communication skills with the ability to translate complex data-related concepts into
understandable terms for non-technical stakeholders. o Analytical mindset with strong problem-
solving abilities. o Knowledge of data visualization and reporting tools (e.g., Power BI, Tableau,
Looker) is a plus. Certifications: o Project Management Professional (PMP) or Scrum Master
certification (preferred). o Data-related certifications (e.g., AWS Certified Big Data, Google
Professional Data Engineer) are a plus. Preferred Skills: o Experience with big data technologies
(e.g., Hadoop, Spark, Kafka). o Familiarity with machine learning or AI applications related to data
solutions. o Experience with data governance and compliance (e.g., GDPR).
Job Description:
1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges
a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem
b. Improve Model accuracy to deliver greater business impact
c.Estimate business impact due to deployment of model
2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge
3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines
4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch
5.Experience in using Deep learning models with text, speech, image and video data
a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc
b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV
c.Knowledge of State of the art Deep learning algorithms
6.Optimize and tune Deep Learnings model for best possible accuracy
7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau
8.Work with application teams, in deploying models on cloud as a service or on-prem
a.Deployment of models in Test / Control framework for tracking
b.Build CI/CD pipelines for ML model deployment
9.Integrating AI&ML models with other applications using REST APIs and other connector technologies
10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.
· Technology/Subject Matter Expertise
- Sufficient expertise in machine learning, mathematical and statistical sciences
- Use of versioning & Collaborative tools like Git / Github
- Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
- Develop prototype level ideas into a solution that can scale to industrial grade strength
- Ability to quantify & estimate the impact of ML models.
· Softskills Profile
- Curiosity to think in fresh and unique ways with the intent of breaking new ground.
- Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
- Ability to think ahead, and anticipate the needs for solving the problem will be important
· Ability to communicate key messages effectively, and articulate strong opinions in large forums
· Desirable Experience:
- Keen contributor to open source communities, and communities like Kaggle
- Ability to process Huge amount of Data using Pyspark/Hadoop
- Development & Application of Reinforcement Learning
- Knowledge of Optimization/Genetic Algorithms
- Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
- Optimize and tune deep learning model for best possible accuracy
- Understanding of stream data processing, RPA, edge computing, AR/VR etc
- Appreciation of digital ethics, data privacy will be important
- Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
- Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus
Housing.com
Role: Team Manager
Department: Developer Sales
Location: Kochi
Housing.com
Founded in 2012 and acquired by REA India in 2017, Housing.com is India’s most innovative real estate advertising platform for homeowners, landlords, developers, and real estate brokers. The company offers listings for new homes, resale homes, rentals, plots and co-living spaces in India. Backed by strong research and analytics, the company’s experts provide comprehensive real estate services that cover advertising and marketing, sales solutions for real estate developers, personalized search, virtual viewing, AR&VR content, home loans, end-to-end transaction services, and post-transaction services to consumers for both buying and renting.
What does this role hold for you…??
● Accountable for maintaining relationships with priority clients.
● Drive growth through sales planning and precise actualization and sell online space to key accounts.
● Accountable for data management to ensure 100% coverage in assigned territory and tracking other key parameters.
● Ensure client management, negotiation & contract development.
● Handle client acquisition campaigns and generate leads to build a flagship brand for property services in the respective region.
● Accountable for service delivery and ensuring client retention.
● Provide market insights and data assessment for the marketing team to launch the right promotional and customer communication initiatives.
● Map new projects & new builders in designated territories and acquire new projects & builders to ensure coverage across the designated territories.
● Ensuring efficient Relationship Management with existing clients to ensure 100% coverage of new projects launched by them.
Apply if you have…
· Worked in a real estate business.
· Dexterity in creating and delivering presentations.
· Passion for selling and dexterity in communicating with people at all levels.
As the Marketing Automation Manager, you will be responsible for executing campaigns and initiatives across multiple marketing channels, with a focus on email marketing, marketing automation, and lead generation. You will work closely with the Brand Strategy team and other members of the marketing team to develop and execute campaigns that support our business objectives and drive revenue growth.
Roles and Responsibilities:
- Develop and implement marketing automation strategies aligned with the business objectives and long-term customer acquisition and retention goals.
- Collaborate with the marketing team to plan and execute marketing campaigns that leverage marketing automation capabilities.
- Drive lead generation efforts by implementing effective strategies and tactics within marketing automation platforms. Create and optimize lead capture forms, landing pages, and lead scoring models to enhance lead quality and conversion rates.
- Use analytical tools and data sources to track, analyze, and report on campaign performance, including metrics such as open rates, click-through rates, conversion rates, and overall campaign effectiveness.
- Work closely with cross-functional teams, including sales, content, and design, to align marketing automation initiatives with overall marketing strategies.
- Maintain knowledge of GDPR, PECR, and other relevant privacy regulations to ensure compliance with marketing automation practices.
- Stay informed about marketing automation trends, tools, and best practices within the B2B technology industry. Conduct research and benchmarking to identify opportunities for innovation and optimization in marketing automation strategies and tactics.
Requirements:
- Prior experience in marketing automation or digital marketing for a high-growth B2B technology business.
- Hands-on experience in setting up automated campaigns using platforms like Hubspot, Salesforce, and similar marketing automation tools.
- Expertise in implementing web tracking technologies such as Google Analytics, Mixpanel, Snowflake, etc.
- Strategic mindset to help the business achieve long-term customer acquisition and retention goals.
- Proven ability to translate complex data into actionable insights for stakeholders.
- Ability to pivot quickly and make fast decisions based on changing needs in a high-growth environment.
- Comfortable working under tight deadlines and strong attention to detail.
- Excellent interpersonal, communication, and project management skills with the ability to prioritize tasks across multiple projects.
- Knowledge of GDPR, PECR, and other relevant privacy regulations.
B2B Sales Executive
Sales
- Farmers Fresh Zone aims at unlocking access to safe-to-eat, pesticide free fruits & vegetables directly sourced from our farmers. We are an omni channel platform having both offline and online presence. Backed by the Indian Angel Network, We are one of the first Indian agri-tech firms to introduce unit level traceability for all our products which means consumers can track the origin of a product including details of the farms and farmers.
- We are all in the quest to create a positive movement, a movement aimed at reducing the gap between a consumer & a farmer, a movement that gives consumers access to safe & non-toxic farmer's produce, a movement that is uplifting the farmer community
- Today we are proud to say that we are connecting 1500+ farmers to urban consumers. We envisage our brand to go global soon, post creating a cemented presence in India.
- We are not looking for job-seekers, we are looking for impact-creators with a go-getter attitude. We are looking for dynamic individuals who are honestly driven by the cause and are customer obsessed, be it our end user, farmer, vendor or even our internal community.
- To build an effective long-term relationship with the customers and perform sets of sales activities to help the organization run effectively, efficiently, and in support of business strategies and objectives.
RESPONSIBILITY
- Achieve forecasted sales goals
- Manage the sales pipeline and source leads
- Plan and execute sales activities that will ensure sales growth objectives.
- Be able to properly demonstrate the features and benefits of Company instrumentation to customers.
- Set demo session with the potential customer to convert
- Meet customer requirements (responsive, schedule conscious, etc) and maintain relationship
- Provide forecasts, reports, marketing intelligence, and information
- Attend and represent the Company at local exhibitions and meetings.
- On-board customers and keep the communication alive
- Contributes to team effort by accomplishing related results as needed
REQUIREMENTS
- Bachelor's in marketing, business or equivalent
- 1+ years in sales, telecom, broad band, hotels ( oyo )
- Excellent communication and presentation skills
- Solid knowledge of Sales management and b2b sales pipeline management
- Familiarity with analytical, productivity, and reporting tools such as MS Office, Asana, Slack, LinkedIn, PBI, etc...
- Fluency in English,Malayalam is required





