


Role & Responsibilities
Lead and mentor a team of data engineers, ensuring high performance and career growth.
Architect and optimize scalable data infrastructure, ensuring high availability and reliability.
Drive the development and implementation of data governance frameworks and best practices.
Work closely with cross-functional teams to define and execute a data roadmap.
Optimize data processing workflows for performance and cost efficiency.
Ensure data security, compliance, and quality across all data platforms.
Foster a culture of innovation and technical excellence within the data team.

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Role Overview
We’re looking for a team player with strong problem-solving skills and a sharp eye for detail. You’ll be responsible for building and maintaining efficient, reliable software programs that meet both explicit and implicit requirements.
Responsibilities
- Act as an individual contributor with hands-on development responsibilities
- Write clean, maintainable code as per specifications
- Balance code efficiency with readability
- Perform unit testing and validate outputs
- Modify existing software based on evolving requirements
- Develop and enforce quality assurance procedures
- Troubleshoot, debug, and upgrade existing systems
Qualifications
- Bachelor’s degree in Computer Science or a related field
- 4+ years of industry experience in software development
Required Skills
- Proficient in Java, Spring Boot, and Security concepts
- Solid experience with frontend technologies (preferably JavaScript/UI)
- Familiarity with version control systems (Git/SVN)
- Knowledge of relational databases, ORMs (like Hibernate), and distributed systems (Kafka, Redis)
- Experience with container technologies (e.g. Docker, Kubernetes)
- Ability to quickly learn new technologies and frameworks
- Strong analytical and debugging skills
- Good communication skills—both verbal and written
- High attention to detail and curiosity-driven problem-solving
We are looking for a foreign accountant having basic depth knowledge of accounting and proficient with software like Quickbook, Xero, Sage etc.
The JD is as below:
Onboarding customers, collecting all the required documents, executing agreements etc
Collecting repayments and educating customers on credit benefits and timely repayment benefits
Building and maintaining relationships with clients and sellers' ground team
Meeting and exceeding sales targets
Staying up-to-date on company policies and competitor activities
Collaborating with internal teams and anchor teams to ensure the successful product placement
Providing excellent customer service to customers/borrowers
Only Chennai candidates should apply
In the capacity of a Quality Assurance Manager (Ecommerce backend testing), you will assume a pivotal role in guaranteeing the consistent delivery of top-tier products and services to our valued customers. Your core responsibilities will encompass the formulation and execution of quality assurance policies and protocols, the meticulous conduct of audits, and the comprehensive oversight of our entire quality management system. Your unwavering attention to detail, analytical acumen, and adept leadership skills in motivating and guiding a team will be instrumental in upholding our steadfast commitment to excellence.
Quality Assurance Manager Responsibilities
Develop and implement quality assurance policies and procedures
Plan and conduct quality audits and inspections
Monitor and analyze quality performance and trends using statistical methods and tools
Identify and resolve quality issues and non-conformities
Coordinate and supervise quality testing activities
Train and mentor quality assurance staff and other employees on quality standards and best practices
Prepare and present quality reports and documentation
Collaborate with other managers and departments to ensure quality integration and alignment
Liaise with customers, suppliers, and regulatory authorities on quality matters
Evaluate and recommend quality improvement opportunities and solutions
Quality Assurance Manager Required Skills
Strong knowledge of quality management principles, methodologies, and tools.
Excellent leadership and team management abilities.
Exceptional problem-solving and analytical skills.
Excellent communication and interpersonal skills.
Proficient in using quality management software and tools.
Strong attention to detail and ability to work with complex data.
Ability to prioritize tasks and meet deadlines in a fast-paced environment.
Strong understanding of regulatory requirements and industry standards.
Ability to influence and drive change across the organization.
Continuous improvement mindset and a commitment to delivering exceptional quality.
Required Qualifications
Bachelor’s degree in engineering, quality management, or a related field
Certification in quality assurance or quality management (such as ISO 9000, CQE, CQM, etc.) is preferred
Proven experience as a quality assurance manager or a similar role in a manufacturing or service industry
Strong knowledge of quality assurance methodologies, tools, and standards
Excellent analytical, problem-solving, and decision-making skills
Proficient in MS Office and data analysis software
Outstanding communication, interpersonal, and leadership skills
Attention to detail and customer orientation
Ability to work under pressure and meet deadlines
Data Engineer
- High Skilled and proficient on Azure Data Engineering Tech stacks (ADF, Databricks) - Should be well experienced in design and development of Big data integration platform (Kafka, Hadoop). - Highly skilled and experienced in building medium to complex data integration pipelines for Data at Rest and streaming data using Spark. - Strong knowledge in R/Python. - Advanced proficiency in solution design and implementation through Azure Data Lake, SQL and NoSQL Databases. - Strong in Data Warehousing concepts - Expertise in SQL, SQL tuning, Data Management (Data Security), schema design, Python and ETL processes - Highly Motivated, Self-Starter and quick learner - Must have Good knowledge on Data modelling and understating of Data analytics - Exposure to Statistical procedures, Experiments and Machine Learning techniques is an added advantage. - Experience in leading small team of 6/7 Data Engineers. - Excellent written and verbal communication skills
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Data Analyst Job Duties
Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.
Responsibilities
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Interpret data, analyze results using statistical techniques and provide ongoing reports
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Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
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Acquire data from primary or secondary data sources and maintain databases/data systems
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Identify, analyze, and interpret trends or patterns in complex data sets
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Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
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Work with management to prioritize business and information needs
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Locate and define new process improvement opportunities
Requirements
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Proven working experience as a Data Analyst or Business Data Analyst
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https://resources.workable.com/data-scientist-analysis-interview-questions">Technical expertise regarding data models, database design development, data mining and segmentation techniques
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Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
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Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
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Strong https://resources.workable.com/analytical-skills-interview-questions">analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
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Adept at queries, report writing and presenting findings
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BS in Mathematics, Economics, Computer Science, Information Management or Statistics
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