Audit & Tax Seniors Join our high growth team to conduct audits, prepare tax returns, support on-shore teams, and experience growth for yourself professionally and personally. Gain global exposure and work with an exceptional team to drive results. Annual bonus Free meal Health insurance Job/soft skill training
This is an exciting opportunity for individuals who have previously worked with consulting firms and are looking to grow in a fast-paced, high-growth organization In this role, you will be responsible for conducting audits, preparing tax returns, working with on-shore teams, and ensuring compliance and process improvements across business functions This role offers significant international exposure, with opportunities to collaborate with global teams Key Responsibilities Audit Seniors:- Conduct audits across financial, operational, and compliance areas - Partner with on-shore teams to ensure global standards and best practices - Identify areas for process improvement and support implementation - Assist in risk assessments and development of internal controls - Prepare and present audit findings with actionable insights - Preparing audit documentation and reports under the supervision of senior team members - Maintain accurate documentation and audit records in compliance with company policies - Coordinate with cross-functional teams and global stakeholders Key Responsibilities Tax Seniors:- Prepare and review tax returns for individuals and corporations - Ensure compliance with local and international tax regulations - Support in tax planning, risk assessment, and advisory services - Partner with global tax teams to align with international best practices - Maintain and update tax-related documentation and processes
We are seeking a skilled and detail-oriented Data Engineer to join our team As a Data Engineer, you will be responsible for developing and optimizing data pipelines, managing data architecture, and ensuring the data is easily accessible, reliable, and secure You will work closely with data scientists, analysts, and other stakeholders to gather requirements and deliver data solutions that support business intelligence and analytics initiatives The ideal candidate should possess strong data manipulation skills, a keen eye for detail, and the ability to work with diverse datasets This role plays a crucial part in ensuring the quality and integrity of our data, enabling informed decision-making across the organization Responsibilities: Data Pipeline Development:Design, develop, and maintain scalable data pipelines to process, transform, and move large datasets across multiple platforms Ensure data integrity, reliability, and quality across all pipelines Data Architecture and Infrastructure:Architect and manage the data infrastructure, including databases, warehouses, and data lakes Implement solutions to optimize storage and retrieval of both structured and unstructured data Data Integration and Management:Integrate data from various sources (eg, APIs, databases, third-party providers) into a unified system Manage ETL (Extract, Transform, Load) processes to clean, enrich, and make data ready for analysis Data Security and Compliance:Ensure data governance, privacy, and compliance with security standards (eg, GDPR, HIPAA) Implement robust access controls and encryption protocols Collaboration:Work closely with data scientists, analysts, and business stakeholders to gather requirements and deliver high-performance data solutions Collaborate with DevOps and software engineering teams to deploy and maintain the data infrastructure in a cloud or on-premises environment Performance Tuning:Monitor and improve the performance of databases and data pipelines to ensure low-latency data availability Troubleshoot and resolve issues in the data infrastructure Documentation and Best Practices:Maintain detailed documentation of data pipelines, architecture, and processes Follow industry best practices for data engineering, including version control and continuous integration Skills/ Requirements:Technical Skills:Proficiency in programming languages such as Python, or SQL Good experience with big data technologies like Apache Spark, Hadoop, Kafka, Flink, etcExperience with cloud data platforms (AWS, Azure) Familiarity with databases (SQL and NoSQL), data warehousing solutions (eg, Snowflake, Redshift), and ETL tools (eg, Airflow, Talend) Data Modeling and Database Design:Expertise in designing data models and relational database schemas Problem-Solving:Strong analytical and problem-solving skills, with the ability to handle complex data issues Version Control and Automation:Experience with CI/CD pipelines and version control tools like Git Professional Qualifications: - 5 - 6 years of relevant experience - BTech, Statistics, Information Technology, or a related field Other Benefits:- Free Meal- 1 Happy Hour Every week- 3 Offsite in a year- 1 Spa every week