About The Role We are looking for a motivated and detail-oriented Data Engineer to join our team! This role involves working with large volumes of data, building and maintaining data pipelines, and supporting the transition to automated processes that improve efficiency and data accuracy. Job Definition Perform data cleaning, processing, and ETL (Extract, Transform, Load) from various sources into data storage systems. Ensure data quality through proper planning and implementation. Maintain and document data pipelines, processes, and infrastructure. Monitor and troubleshoot data issues to ensure timely resolution. Extract data from online sources to support analytical needs. Collaborate with cross-functional teams to understand and address data requirements. Support automation of data-related processes and systems. Provide training and guidance on the use of automated workflows. Job Qualification Degree in Computer Science, Engineering, Data Science, Mathematics, or a related field. Strong experience with SQL, MongoDB, and a solid understanding of Relational and Non-Relational databases. Proficient in Python and comfortable with other scripting languages. Familiarity with Microsoft Excel, PowerPoint, Word and Power BI / Power Automate. Basic understanding of HTML & CSS. Experience in web scraping using tools like BeautifulSoup, Selenium, or Scrapy. Knowledge of AWS or Azure is an added advantage. Interest or experience in the automotive industry is a plus. Excellent communication skills in English. Strong teamwork, coordination, and learning abilities. Self-motivated, disciplined, and able to work well under pressure. Logical thinker with attention to detail. Additional Information We're looking for 5 Data Engineer in Chennai and 5 in Kuala Lumpur to join our growing team.
Kick-start or elevate your career in the automotive data field by joining a fast-growing team in the Southeast Asia (SEA) region. We are looking for a detail-oriented, data-driven individual — whether you're an experienced analyst or a fresh graduate passionate about cars and data. Job Overview This role provides the opportunity to explore and manage automotive OES (Original Equipment Supplier) car parts data for the SEA region. If you're detail-oriented, independent, and excited about working with large volumes of data in the automotive space, this is the right fit for you. Job Responsibilities Research and gather domestic and foreign automotive OES parts data from reliable sources in the SEA region. Conduct in-depth analysis on various vehicle models to ensure data accuracy and relevance. Extract, interpret, and input automotive parts information from electronic catalogues into internal systems. Identify, correct, and document data discrepancies following standard workflows. Generate analytical reports to support decision-making and provide actionable insights. Collaborate with internal departments to uphold and improve data quality standards. Assist team leads in ensuring timely delivery of projects with technical accuracy. Proactively suggest improvements to enhance data processes and efficiency. Qualifications & Requirements Bachelor’s degree or diploma in Mechanical Engineering, Automotive Engineering, Computer Science, or any relevant technical field. Fresh graduates with a strong interest in data and the automotive industry are encouraged to apply. Experience (0–3 years) in data research, data entry, or the automotive industry is advantageous. Individuals with a background as Service Advisors from automotive service centers are welcome - especially those familiar with parts identification, repair processes, and vehicle models. Strong interest in data-related roles within the automotive sector. A genuine automotive enthusiast with curiosity to learn about vehicle systems and components. Proficient in Microsoft Excel and managing large data sets. Excellent communication skills in English (spoken and written). Independent, analytical, detail-oriented, and able to work under pressure. A strong problem-solver and proactive team player. Why Join Us? Be part of a growing regional team shaping the future of automotive data. Collaborative, diverse work environment with opportunities to learn and grow. Exposure to international automotive data and systems. Career development opportunities across departments and regions.
Kick-start or elevate your career in the automotive data field by joining a fast-growing team in the Southeast Asia (SEA) region. We are looking for a detail-oriented, data-driven individual — whether you're an experienced analyst or a fresh graduate passionate about cars and data. Job Overview This role provides the opportunity to explore and manage automotive OES (Original Equipment Supplier) car parts data for the SEA region. If you're detail-oriented, independent, and excited about working with large volumes of data in the automotive space, this is the right fit for you. Job Responsibilities Research and gather domestic and foreign automotive OES parts data from reliable sources in the SEA region. Conduct in-depth analysis on various vehicle models to ensure data accuracy and relevance. Extract, interpret, and input automotive parts information from electronic catalogues into internal systems. Identify, correct, and document data discrepancies following standard workflows. Generate analytical reports to support decision-making and provide actionable insights. Collaborate with internal departments to uphold and improve data quality standards. Assist team leads in ensuring timely delivery of projects with technical accuracy. Proactively suggest improvements to enhance data processes and efficiency. Qualifications & Requirements Bachelor’s degree or diploma in Mechanical Engineering, Automotive Engineering, Computer Science, or any relevant technical field. Fresh graduates with a strong interest in data and the automotive industry are encouraged to apply. Experience (0–3 years) in data research, data entry, or the automotive industry is advantageous. Individuals with a background as Service Advisors from automotive service centers are welcome - especially those familiar with parts identification, repair processes, and vehicle models. Strong interest in data-related roles within the automotive sector. A genuine automotive enthusiast with curiosity to learn about vehicle systems and components. Proficient in Microsoft Excel and managing large data sets. Excellent communication skills in English (spoken and written). Independent, analytical, detail-oriented, and able to work under pressure. A strong problem-solver and proactive team player. Why Join Us? Be part of a growing regional team shaping the future of automotive data. Collaborative, diverse work environment with opportunities to learn and grow. Exposure to international automotive data and systems. Career development opportunities across departments and regions.
Kick-start or elevate your career in the automotive data field by joining a fast-growing team in the Southeast Asia (SEA) region. We are looking for a detail-oriented, data-driven individual whether you&aposre an experienced analyst or a fresh graduate passionate about cars and data. Job Overview This role provides the opportunity to explore and manage automotive OES (Original Equipment Supplier) car parts data for the SEA region. If you&aposre detail-oriented, independent, and excited about working with large volumes of data in the automotive space, this is the right fit for you. Job Responsibilities Research and gather domestic and foreign automotive OES parts data from reliable sources in the SEA region. Conduct in-depth analysis on various vehicle models to ensure data accuracy and relevance. Extract, interpret, and input automotive parts information from electronic catalogues into internal systems. Identify, correct, and document data discrepancies following standard workflows. Generate analytical reports to support decision-making and provide actionable insights. Collaborate with internal departments to uphold and improve data quality standards. Assist team leads in ensuring timely delivery of projects with technical accuracy. Proactively suggest improvements to enhance data processes and efficiency. Qualifications & Requirements Bachelors degree or diploma in Mechanical Engineering, Automotive Engineering, Computer Science, or any relevant technical field. Fresh graduates with a strong interest in data and the automotive industry are encouraged to apply. Experience (03 years) in data research, data entry, or the automotive industry is advantageous. Individuals with a background as Service Advisors from automotive service centers are welcome - especially those familiar with parts identification, repair processes, and vehicle models. Strong interest in data-related roles within the automotive sector. A genuine automotive enthusiast with curiosity to learn about vehicle systems and components. Proficient in Microsoft Excel and managing large data sets. Excellent communication skills in English (spoken and written). Independent, analytical, detail-oriented, and able to work under pressure. A strong problem-solver and proactive team player. Why Join Us Be part of a growing regional team shaping the future of automotive data. Collaborative, diverse work environment with opportunities to learn and grow. Exposure to international automotive data and systems. Career development opportunities across departments and regions. Show more Show less
Kick-start or elevate your career in the automotive data field by joining a fast-growing team in the Southeast Asia (SEA) region. We are looking for a detail-oriented, data-driven individual — whether you're an experienced analyst or a fresh graduate passionate about cars and data. Job Overview This role provides the opportunity to explore and manage automotive OES (Original Equipment Supplier) car parts data for the SEA region. If you're detail-oriented, independent, and excited about working with large volumes of data in the automotive space, this is the right fit for you. Job Responsibilities Research and gather domestic and foreign automotive OES parts data from reliable sources in the SEA region. Conduct in-depth analysis on various vehicle models to ensure data accuracy and relevance. Extract, interpret, and input automotive parts information from electronic catalogues into internal systems. Identify, correct, and document data discrepancies following standard workflows. Generate analytical reports to support decision-making and provide actionable insights. Collaborate with internal departments to uphold and improve data quality standards. Assist team leads in ensuring timely delivery of projects with technical accuracy. Proactively suggest improvements to enhance data processes and efficiency. Qualifications & Requirements Bachelor’s degree or diploma in Mechanical Engineering, Automotive Engineering, Computer Science, or any relevant technical field. Fresh graduates with a strong interest in data and the automotive industry are encouraged to apply. Experience (0–3 years) in data research, data entry, or the automotive industry is advantageous. Individuals with a background as Service Advisors from automotive service centers are welcome - especially those familiar with parts identification, repair processes, and vehicle models. Strong interest in data-related roles within the automotive sector. A genuine automotive enthusiast with curiosity to learn about vehicle systems and components. Proficient in Microsoft Excel and managing large data sets. Excellent communication skills in English (spoken and written). Independent, analytical, detail-oriented, and able to work under pressure. A strong problem-solver and proactive team player. Why Join Us? Be part of a growing regional team shaping the future of automotive data. Collaborative, diverse work environment with opportunities to learn and grow. Exposure to international automotive data and systems. Career development opportunities across departments and regions.
About The Role We are looking for a motivated and detail-oriented Data Engineer to join our team! This role involves working with large volumes of data, building and maintaining data pipelines, and supporting the transition to automated processes that improve efficiency and data accuracy. Job Definition Perform data cleaning, processing, and ETL (Extract, Transform, Load) from various sources into data storage systems. Ensure data quality through proper planning and implementation. Maintain and document data pipelines, processes, and infrastructure. Monitor and troubleshoot data issues to ensure timely resolution. Extract data from online sources to support analytical needs. Collaborate with cross-functional teams to understand and address data requirements. Support automation of data-related processes and systems. Provide training and guidance on the use of automated workflows. Job Qualification Degree in Computer Science, Engineering, Data Science, Mathematics, or a related field. Strong experience with SQL, MongoDB, and a solid understanding of Relational and Non-Relational databases. Proficient in Python and comfortable with other scripting languages. Familiarity with Microsoft Excel, PowerPoint, Word and Power BI / Power Automate. Basic understanding of HTML & CSS. Experience in web scraping using tools like BeautifulSoup, Selenium, or Scrapy. Knowledge of AWS or Azure is an added advantage. Interest or experience in the automotive industry is a plus. Excellent communication skills in English. Strong teamwork, coordination, and learning abilities. Self-motivated, disciplined, and able to work well under pressure. Logical thinker with attention to detail. Additional Information We're looking for 5 Data Engineer in Chennai and 5 in Kuala Lumpur to join our growing team.
About The Role We’re looking for a detail-oriented and driven Data Analyst to join our dynamic team at TecAlliance. In this role, you will support our customers by transforming and integrating their data into TecDoc standards, ensuring smooth onboarding, high-quality data processing, and optimal distribution workflows. This is an excellent opportunity to work in the fast-growing automotive data industry, alongside a supportive and experienced team, while developing your expertise in data analytics and technical solutions. Key Responsibilities Develop and manage customer-specific data processing in line with TecDoc data standards . Analyze customer requirements and deliver tailored data solutions in collaboration with the Sales Team. Implement customer data into the TecDoc Data Standard (DIFM Service) using ETL tools, SQL, Python , and TecDoc Maintenance Tools. Create customer-specific analyses, product reports, and visual data presentations. Continuously optimize processes to enhance data quality and production efficiency. Provide 3rd-level technical support for customer-specific data requirements. Evaluate and implement requirements, ensuring proper documentation and reporting of all processes. Qualifications & Requirements 3+ years of experience in a data analysis environment . Proficiency with SQL, Python, ETL tools , and data transformation processes. Experience in technical consulting and data-driven product implementation . Knowledge of product management within the Independent Automotive Aftermarket (IAM) is a plus. Strong analytical skills, attention to detail, and a structured, self-motivated work style. Open-minded, collaborative, and eager to learn, with excellent communication skills. Why Join Us Work with automotive data used globally by leading aftermarket service providers. Join a hands-on, experienced team with deep industry expertise. Gain exposure to a tech-driven, fast-growing field with clear training and career development opportunities. Be part of a collaborative, cross-functional environment where your contributions have a direct impact.
About The Role We’re looking for a detail-oriented and driven Data Analyst to join our dynamic team at TecAlliance. In this role, you will support our customers by transforming and integrating their data into TecDoc standards, ensuring smooth onboarding, high-quality data processing, and optimal distribution workflows. This is an excellent opportunity to work in the fast-growing automotive data industry, alongside a supportive and experienced team, while developing your expertise in data analytics and technical solutions. Key Responsibilities Develop and manage customer-specific data processing in line with TecDoc data standards. Analyze customer requirements and deliver tailored data solutions in collaboration with the Sales Team. Implement customer data into the TecDoc Data Standard (DIFM Service) using ETL tools, SQL, Python, and TecDoc Maintenance Tools. Create customer-specific analyses, product reports, and visual data presentations. Continuously optimize processes to enhance data quality and production efficiency. Provide 3rd-level technical support for customer-specific data requirements. Evaluate and implement requirements, ensuring proper documentation and reporting of all processes. Qualifications & Requirements 3+ years of experience in a data analysis environment. Proficiency with SQL, Python, ETL tools, and data transformation processes. Experience in technical consulting and data-driven product implementation. Knowledge of product management within the Independent Automotive Aftermarket (IAM) is a plus. Strong analytical skills, attention to detail, and a structured, self-motivated work style. Open-minded, collaborative, and eager to learn, with excellent communication skills. Why Join Us Work with automotive data used globally by leading aftermarket service providers. Join a hands-on, experienced team with deep industry expertise. Gain exposure to a tech-driven, fast-growing field with clear training and career development opportunities. Be part of a collaborative, cross-functional environment where your contributions have a direct impact.
About The Role We’re looking for a detail-oriented and driven Data Analyst to join our dynamic team at TecAlliance. In this role, you will support our customers by transforming and integrating their data into TecDoc standards, ensuring smooth onboarding, high-quality data processing, and optimal distribution workflows. This is an excellent opportunity to work in the fast-growing automotive data industry, alongside a supportive and experienced team, while developing your expertise in data analytics and technical solutions. Key Responsibilities Develop and manage customer-specific data processing in line with TecDoc data standards. Analyze customer requirements and deliver tailored data solutions in collaboration with the Sales Team. Implement customer data into the TecDoc Data Standard (DIFM Service) using ETL tools, SQL, Python, and TecDoc Maintenance Tools. Create customer-specific analyses, product reports, and visual data presentations. Continuously optimize processes to enhance data quality and production efficiency. Provide 3rd-level technical support for customer-specific data requirements. Evaluate and implement requirements, ensuring proper documentation and reporting of all processes. Qualifications & Requirements 3+ years of experience in a data analysis environment. Proficiency with SQL, Python, ETL tools, and data transformation processes. Experience in technical consulting and data-driven product implementation. Knowledge of product management within the Independent Automotive Aftermarket (IAM) is a plus. Strong analytical skills, attention to detail, and a structured, self-motivated work style. Open-minded, collaborative, and eager to learn, with excellent communication skills. Why Join Us Work with automotive data used globally by leading aftermarket service providers. Join a hands-on, experienced team with deep industry expertise. Gain exposure to a tech-driven, fast-growing field with clear training and career development opportunities. Be part of a collaborative, cross-functional environment where your contributions have a direct impact.