11+ Bookkeeping Jobs in Chennai | Bookkeeping Job openings in Chennai

Hi,

We are seeking a senior data leader with deep functional expertise in Salesforce Sales and Service domains to own the enterprise data model, metrics, and analytical outcomes supporting Sales, Service, and Customer Operations.

This role is business‑first and data‑centric. The successful candidate understands how Salesforce Sales Cloud and Service Cloud data is generated, evolves over time, and is consumed by business teams, and ensures analytics accurately reflect operational reality.

Snowflake serves as the enterprise analytics platform, but Salesforce domain mastery and functional data expertise are the primary requirements for success in this role.

Core Responsibilities

Salesforce Sales & Service Data Ownership

·                 Act as the data owner and architect for Salesforce Sales and Service domains.

• Own Sales data including leads, accounts, opportunities, pipeline, bookings, revenue, forecasting, and CPQ (if applicable).
• Own Service data including cases, case lifecycle, SLAs, backlog, escalations, and service performance metrics.
• Define and govern enterprise‑wide KPI and metric definitions across Sales and Service.
• Ensure alignment between Salesforce operational definitions and analytics/reporting outputs.
• Own cross‑functional metrics spanning Sales, Service, and the customer lifecycle (e.g., customer health, renewals, churn).

Business‑Driven Data Modeling

·                 Design Salesforce‑centric analytical data models that accurately reflect Sales and Service processes.

• Model sales stage progression, pipeline history, and forecast changes over time.
• Model service case lifecycle, SLA compliance, backlog aging, and resolution metrics.
• Handle Salesforce‑specific complexities such as slowly changing dimensions (ownership, territory, account hierarchies).
• Ensure data models support operational dashboards, executive reporting, and advanced analytics.

Analytics Enablement & Business Partnership

·                 Partner closely with Sales Operations, Service Operations, Revenue Operations, Finance, and Analytics teams.

• Translate business questions into trusted, reusable analytical datasets.
• Identify data quality issues or Salesforce process gaps impacting reporting and drive remediation.
• Enable self‑service analytics through well‑documented, certified data products.

Technical Responsibilities (Enabling Focus)

·                 Architect and govern Salesforce data ingestion and modeling on Snowflake.

• Guide ELT/ETL strategies for Salesforce objects such as Opportunities, Accounts, Activities, Cases, and Entitlements.
• Ensure reconciliation and auditability between Salesforce, Finance, and analytics layers.
• Define data access, security, and governance aligned with Salesforce usage patterns.
• Partner with data engineering teams on scalability, performance, and cost efficiency.

Required Experience & Skills

Salesforce Sales & Service Domain Expertise (Must‑Have)

·                 Extensive hands‑on experience working with Salesforce Sales Cloud and Service Cloud data.

• Strong understanding of sales pipeline management, forecasting, and revenue reporting.
• Strong understanding of service case workflows, SLAs, backlog management, and service performance measurement.
• Experience working directly with Sales Operations and Service Operations teams.
• Ability to identify when Salesforce configuration or process issues cause reporting inconsistencies.

Data & Analytics Expertise

·                 10+ years working with business‑critical analytical data.

• Proven experience defining KPIs, metrics, and semantic models for Sales and Service domains.
• Strong SQL and analytical skills to validate business logic and data outcomes.
• Experience supporting BI and analytics platforms such as Tableau, Power BI, or MicroStrategy.

Platform Experience 

·                 Experience using Snowflake as an enterprise analytics platform.

• Understanding of modern ELT/ETL and cloud data architecture concepts.
• Familiarity with data governance, lineage, and access control best practices.

Leadership & Collaboration

·                 Acts as a bridge between business stakeholders and technical teams.

• Comfortable challenging requirements using business and data context.
• Mentors engineers and analysts on Salesforce data nuances and business meaning.
• Strong communicator able to explain complex Salesforce data behavior to non‑technical leaders.

Thanks,

Ampera Talent Team

Position: AWS Data Engineer

Experience: 5 to 7 Years

Location: Bengaluru, Pune, Chennai, Mumbai, Gurugram

Work Mode: Hybrid (3 days work from office per week)

Employment Type: Full-time

About the Role:

We are seeking a highly skilled and motivated AWS Data Engineer with 5–7 years of experience in building and optimizing data pipelines, architectures, and data sets. The ideal candidate will have strong experience with AWS services including Glue, Athena, Redshift, Lambda, DMS, RDS, and CloudFormation. You will be responsible for managing the full data lifecycle from ingestion to transformation and storage, ensuring efficiency and performance.

Key Responsibilities:

• Design, develop, and optimize scalable ETL pipelines using AWS Glue, Python/PySpark, and SQL.
• Work extensively with AWS services such as Glue, Athena, Lambda, DMS, RDS, Redshift, CloudFormation, and other serverless technologies.
• Implement and manage data lake and warehouse solutions using AWS Redshift and S3.
• Optimize data models and storage for cost-efficiency and performance.
• Write advanced SQL queries to support complex data analysis and reporting requirements.
• Collaborate with stakeholders to understand data requirements and translate them into scalable solutions.
• Ensure high data quality and integrity across platforms and processes.
• Implement CI/CD pipelines and best practices for infrastructure as code using CloudFormation or similar tools.

Required Skills & Experience:

• Strong hands-on experience with Python or PySpark for data processing.
• Deep knowledge of AWS Glue, Athena, Lambda, Redshift, RDS, DMS, and CloudFormation.
• Proficiency in writing complex SQL queries and optimizing them for performance.
• Familiarity with serverless architectures and AWS best practices.
• Experience in designing and maintaining robust data architectures and data lakes.
• Ability to troubleshoot and resolve data pipeline issues efficiently.
• Strong communication and stakeholder management skills.

Key Responsibilities:

• Strategic Growth Planning: Develop and execute strategies to drive sustainable growth and expansion in alignment with company goals.
• Market Analysis: Conduct thorough market research and analysis to identify new opportunities, market trends, and competitive threats.
• Business Development: Lead initiatives to acquire new business partnerships and opportunities, including identifying potential clients and negotiating agreements.
• Operational Excellence: Streamline and optimize internal processes and workflows to enhance efficiency and productivity.
• Financial Management: Collaborate with finance teams to develop budgets, monitor financial performance, and ensure cost-effectiveness.
• Team Leadership: Provide strong leadership and mentorship to cross-functional teams, fostering a culture of collaboration, innovation, and continuous improvement.
• Performance Metrics: Establish key performance indicators (KPIs) and metrics to track progress towards goals, regularly reporting to senior management.
• Risk Management: Identify potential risks and develop mitigation strategies to ensure business continuity and resilience.

Qualifications:

• Education:  MBA or equivalent from a prestigious institute such as IIM preferred.
• Experience: 4-6 years of progressive experience in business development, operations management, or related fields. Prior experience in a leadership role preferred.
• Analytical Skills: Strong analytical and problem-solving abilities, with a data-driven approach to decision-making.
• Communication Skills: Excellent communication and interpersonal skills, with the ability to influence and collaborate effectively at all levels of the organization.
• Strategic Vision: Proven ability to think strategically, anticipate future trends, and translate vision into actionable plans.
• Adaptability: Ability to thrive in a fast-paced environment and effectively manage multiple priorities under tight deadlines.

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Consultant – Data Entry / Admin Executive

Roles and Responsibilities

• Insert customer and account data by inputting text based and numerical information from source documents within time limits
• Compile, verify accuracy and sort information according to priorities to prepare source data for computer entry
• Review data for deficiencies or errors, correct any incompatibilities if possible and check output
• Research and obtain further information for incomplete documents
• Apply data program techniques and procedures
• Generate reports, store completed work in designated locations and perform backup operations
• Scan documents and print files, when needed
• Keep information confidential
• Manage calls and queries for information and access relevant files
• Comply with data integrity and security policies
• Ensure proper use of office equipment and address any malfunctions

Requirements and skills

• Proven data entry work experience, as a Data Entry Operator or Admin Executive
• Proficient in using MS Excel skills
• Familiarity with administrative duties
• Typing speed and accuracy
• Excellent knowledge of correct spelling, grammar and punctuation
• Attention to detail
• Confidentiality
• Organization skills, with an ability to stay focused on assigned tasks
• Excellent written and oral Communication skills
• Basic Graduation - Additional computer training or certification will be an asset

Business Analyst

Looking for a passionate business product (future product owner) and team player who wants

to learn, contribute and have fun with the team. We are a friendly startup where we provide

opportunities to explore and learn a lot of things(new solutioning/technology/tools etc.,) in

building quality products using best-in-class technology.

● Understanding of Information Technology and business concepts

● Work with client to define high level requirements and capture their business needs

● Partner with the development team to understand and articulate the product vision of clients

● Collaborate with teammates to analyze and design the business requirements

● Analyze the as is situation and collaborate with clients

● Be an effective liaison between the client and the team to manage the product backlog and

keep an eye on the software delivery

● Well versed with Agile, Lean and Continuous delivery methodologies

● Must have exposure to functional testing

● Keep a track record for delivering impactful software with the collaboration of software

delivery team

Key Requirements:

● Excellent communication and interpersonal skills required

● Knowledge on Loans or Credits or Accounts or related areas

● Should have agile/scrum/kanban experiences like backlog creation EPIC, Stories

creation and Sprint

● Planning

Key Responsibilities

● Understand business requirements and create business specifications and solutioning

documents for the product

● Agile/Scrum - Epics, Story writing, Spring Planning (IPM), Retro, Backlog/Feature

management

● Understand how business operates and experience modeling business processes using

a different tools and techniques to ease requirement elicitation sessions

● Have a knack for resolving any conflicts as they arise

Your Tasks:

• Participate in all aspect of operation and application support.
• Work primarily in Java-on-Java Spring and web frameworks like Bootstrap and Vue.js.
• Engage and collaborate across time zones with different front-end and back-end developers.
• Working closely with your teammates on knowledge sharing and experience build-up.
• Drive development best practices with your teammates to deliver high quality solutions. 

  Your profile:

• Bachelor’s degree in computer science, information technology, or engineering with strong communication skills.
• 4+ years of experience building large-scale software applications or web applications
• Strong knowledge of Full-Stack development with Java Spring Framework and established web frameworks Bootstrap, Vue.js, React or AngularJS.
• Experience of different data stores and search engine solutions like Apache Solr or Elasticsearch and designing and implementing API web services (RESTful and SOAP-based)
• Ability to work independently and collaboratively in a multidisciplinary team environment whiles providing operational support capability.

Job description:

Red Ant Media helps its clients in building digital creative solutions to help them achieve their business goals. As an outsourced product development company, we embrace the crossroads of Creative design, Web development, Web design, and Digital Marketing.

We are a data-driven agency, who bring together data-driven insights, user objective, brand, technology, content, and creative vision.

Experience: 1 -2 years

Location: Chennai

Roles and Responsibilities:

• Integration of user-facing elements developed by front-end developers with server-side logic
• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Implementation of security and data protection
• Integration of data storage solutions ( MySQL, MongoDB)
• Creating database schemas that represent and support business processes.
• Understanding the nature of asynchronous programming and its quirks and workarounds

Skills Required:

• Knowledge of Node.js and framework available for it (such as express).
• Familiarity with Progressive Web Applications and Single Page Applications and frameworks (Vue, React, Angular with Typescript, etc).
• Hand on and implement complex Angular applications, directives, pipes, interceptors, services, etc.
• Node-based module loaders and task runners (Webpack, Gulp, or Grunt), creating npm modules.
• Proficient understating of code versioning tools, such as GIT.
• Basic understanding of front-end technologies, such as HTML5, SCSS, and CSS3.

• Degree in English.
• Portfolio published articles.
• Experience doing research using multiple sources.
• Familarity with web applications.
• Excellent english written and able to communicate and collaborate effectively.
• Knowledge of Digital Marketing Tactics, including SEO, EMAIL MARKETING.
• MS Office suite experience

Key Responsibilities:

• Partnering with clients and internal business owners (product, marketing, edit, etc.) to understand needs and develop models and products for Kaleidofin business line.
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges.
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, hyperparameter tuning, ensembling etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
• Identify and use appropriate investigative and analytical technologies to interpret and verify results.
• Apply and learn a wide variety of tools and languages to achieve results
• Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.
• Collaborate with the team to improve the effectiveness of business decisions using data and machine learning/predictive modeling.
• Innovate on projects by using new modeling techniques or tools.
• Utilize effective project planning techniques to break down complex projects into tasks and ensure deadlines are kept.
• Communicate findings to team and leadership to ensure models are well understood and incorporated into business processes.

Skills:

• 2+ year experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
• Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, Boosting trees, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, ensemble methods.
• Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools
• Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
• Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)
• Experience in risk and credit scoring domains preferred