Responsibilities Maintain accurate books across Xero (Australia), Xero (NZ), and Zoho/India. Prepare reconciliations for bank, credit card, payroll clearing, GST, and intercompany accounts. Prepare month-end journals (accruals, prepayments, FX adjustments, revenue deferrals). Assist with monthly management reporting and analysis. Maintain fixed asset registers and depreciation schedules. Process vendor invoices, employee reimbursements, and contractor bills. Prepare vendor onboarding documentation. Prepare payment batches for approval by the Finance Manager. Support GST/BAS preparation with Australian advisors. Liaise with the Indian CA firm on TDS, GST, ROC, and statutory filings. Keep documentation organised for audits, tax, and investor due diligence. Maintain high-quality audit trails across Xero and Zoho. Recommend improvements to workflows, controls, and reporting cadence. Help implement new tools (expense management, payroll, approvals workflows). Contribute to building a scalable global finance function. Requirements 3-6 years in audit, outsourced accounting, or bookkeeping (Big 4 or top-tier CA firms strongly preferred). Experience with cloud accounting platforms (Xero in particular). Strong understanding of reconciliations, monthly close, and core accounting principles. Exposure to Indian statutory compliance (TDS, GST, MCA filings). Excellent English communication skills - written and verbal. High accuracy, structured working style, and strong ownership. Experience working with Australian or international clients. Familiarity with SaaS revenue or subscription models. Analytical mindset and comfort with Google Sheets/Excel modelling. This job was posted by Aishwarya from Firmable.
As a core member of the Data Transformation team, you'll own the critical business data pipelines that power every Firmable product. You'll work hands-on with DBT, SQL, and Python to transform raw data into reliable, business-ready insights. Partnering closely with stakeholders across product, analytics, and business teams, you'll implement robust transformation logic that ensures data quality and drives real-time decision-making at scale for our customers. The Core Responsibilities For The Job Include The Following Pipeline Development and Architecture: Design and build scalable data transformation pipelines using DBT, converting raw data into the world's most accurate business dataset. Develop end-to-end data workflows with Python and Airflow, ensuring reliability and business continuity. Implement sophisticated business logic through SQL transformations and data modelling. Deploy and orchestrate pipelines at scale on AWS cloud infrastructure. Data Quality And AI Integration Clean, deduplicate, and enrich datasets using AI and LLM models for maximum data quality. Build comprehensive testing frameworks with validation, monitoring, and anomaly detection. Automate quality checks using fine-tuned models and GPT heuristics to catch issues before production. Implement real-time schema drift detection and data validation systems. Stakeholder Collaboration And Innovation Partner with product, analytics, and business teams to translate requirements into technical solutions. Engage regularly with stakeholders to understand evolving needs and deliver scalable solutions. Champion new tooling and best practices, from next-gen model distillation to novel vector databases. Drive continuous improvement of our data transformation architecture. Development Excellence Leverage AI coding assistants (Cursor) daily to accelerate development and maintain code quality. Write efficient, performance-optimised SQL for complex transformations across large datasets. Maintain transformation reliability through robust monitoring and automated workflows. Core Technical Skills The core requirements for the job include the following: 4+ years building production data transformation pipelines in business-critical environments. Expert-level proficiency for data modelling and complex business logic implementation. Strong Python expertise, including pandas, numpy, and data pipeline automation. Advanced SQL skills with proven ability to optimise performance and design scalable data models. Extensive Airflow experience for end-to-end pipeline orchestration and workflow management. Experience integrating LLMs with data pipelines. AI-assisted modern development practices, such as cursor. Platform And Architecture Experience Hands-on experience with cloud data platforms and modern data stack technologies. Experience with Databricks or similar data platforms such as Snowflake, Redshift, and RDS. Solid understanding of data warehousing, dimensional modelling, and transformation best practices. Experience with AWS or similar cloud platforms for data pipeline deployment. Business And Collaboration Skills Strong stakeholder engagement abilities with experience translating business requirements to technical solutions. Excellent communication skills for working with non-technical teams. Product Mindset You understand how data quality directly impacts customer value. Business-focused approach, you care about outcomes, not just pipeline uptime. Problem-Solving And Teamwork Proven track record of building reliable, maintainable data solutions in collaborative environments. Excellent problem-solving abilities with a focus on scalable, efficient solutions. This job was posted by Aishwarya from Firmable.