📋 Job Details at a Glance 📍 Location Hyderabad, India 🏢 Company Thomson Reuters 👥 Experience 4-6 years 🎓 Qualification Any Graduate 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Snowflake AWS DBT Python SQL Presto ETL Pipelines APIs AI Data Engineer at Thomson Reuters — Full Details & How to Apply In the rapidly evolving landscape of technology, the role of an AI Data Engineer at Thomson Reuters in Hyderabad, India presents a unique opportunity to shape the future of data-driven solutions. This position allows you to work at the forefront of innovation within a globally recognized company, making a significant impact on how data is transformed into actionable intelligence. As industries increasingly depend on data insights, the demand for skilled AI Data Engineers is surging, positioning this role as a cornerstone of technological advancement. The significance of the AI Data Engineer role cannot be overstated in today's technology-driven world. With businesses relying heavily on data analytics, the ability to construct efficient data pipelines and develop robust AI solutions is crucial. As organizations strive to harness the power of big data, the expertise of an AI Data Engineer becomes essential in converting raw data into valuable insights. This role directly influences operational efficiency and data strategy, making it a vital component of any tech-forward organization. What sets Thomson Reuters apart as an employer is its commitment to fostering innovation and excellence. As a leader in the technology sector, Thomson Reuters provides an environment where creativity and technical skills can flourish. The company is known for its investment in employee development, offering a culture that encourages continuous learning and growth. With a focus on cutting-edge technologies, employees are empowered to push the boundaries of what is possible in the realm of data engineering. This opportunity is ideal for both freshers and candidates with up to 6 years of experience . If you hold a B.Tech, MCA, or equivalent degree and belong to the 2023, 2024, 2025, or 2026 graduating classes, you are encouraged to apply. The AI Data Engineer position is designed for those who are eager to embark on a rewarding career path in a fast-paced tech environment, making it accessible for both new graduates and seasoned professionals. As an AI Data Engineer at Thomson Reuters , you will gain invaluable experience in various technologies and methodologies. You will develop expertise in cloud architecture , work on ETL pipelines , and master tools like Snowflake , AWS , and DBT . Furthermore, you will engage in Agile workflows , enhancing your project management skills while collaborating with cross-functional teams to deliver impactful solutions. This role not only offers technical growth but also positions you at the heart of data innovation. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting, ensuring that you have the most accurate and relevant information to make your application stand out. If you're ready to take the next step in your career, apply online for the AI Data Engineer position at Thomson Reuters today and be part of a transformative journey in technology. Job Role & Responsibilities The role of an AI Data Engineer at Thomson Reuters is pivotal in enhancing data accessibility and processing efficiency within the organization. This position involves designing and implementing robust data solutions that align with business objectives, fostering collaboration among various teams. Design and implement robust ETL pipelines to streamline data processing and enhance data accessibility for analytics. Utilize tools like Snowflake and AWS to manage and optimize data storage and retrieval processes effectively. Collaborate with cross-functional teams , including data scientists and software engineers, to align data engineering efforts with business objectives. Monitor and evaluate data pipeline performance , ensuring high availability and reliability while implementing improvements based on data metrics. Take ownership of projects, driving initiatives from conception through execution, while continuously seeking opportunities for personal and professional growth. Document data workflows and processes meticulously, ensuring clarity and ease of understanding for team members and stakeholders. Innovate and troubleshoot data-related challenges , applying problem-solving skills to enhance system efficiency and effectiveness. Participate in code reviews and provide constructive feedback to maintain high-quality standards in data engineering practices. Stay updated with the latest trends in data engineering and cloud technologies to continuously improve processes. This role embodies a culture of ownership, where the AI Data Engineer is empowered to drive impactful initiatives that contribute to the overall success of Thomson Reuters . Required Skills & Technical Competencies The ideal candidate for the AI Data Engineer position at Thomson Reuters should possess a diverse skill set that combines technical expertise with strong analytical capabilities. This profile is essential to effectively manage and optimize data solutions. Technical Skills Snowflake (Expert) — essential for managing large datasets and optimizing data storage solutions specific to Thomson Reuters . AWS (Intermediate) — crucial for deploying and managing cloud-based data solutions effectively. Python (Advanced) — vital for scripting and automating data processes efficiently. SQL (Intermediate) — necessary for querying and analyzing data, ensuring insights are derived efficiently. Presto (Intermediate) — used for querying large datasets quickly and efficiently. ETL Pipelines (Expert) — experience in designing and implementing data pipelines that enhance data accessibility. APIs (Intermediate) — knowledge in integrating various data sources to ensure seamless data flow. Soft Skills & Professional Competencies Analytical skills — ability to assess data metrics and derive actionable insights. Communication skills — essential for collaborating effectively with team members and presenting findings clearly. Problem-solving — adept at troubleshooting data-related challenges and enhancing system efficiency. Time management — ability to prioritize tasks and manage multiple projects simultaneously. Good to Have (Bonus) Data Engineering Certifications — relevant certifications in data engineering or cloud technologies. Portfolio showcasing projects related to data engineering. Experience with Machine Learning — familiarity with ML concepts can be advantageous. To effectively showcase these skills in a resume or interview for the AI Data Engineer role, candidates should highlight relevant projects, certifications, and practical experience that demonstrate their technical and analytical capabilities. Eligibility Criteria This role is designed for recent graduates and early-career professionals eager to enter the tech industry. Candidates should possess a strong academic foundation and relevant skills to thrive in a dynamic environment. Candidates must hold a degree in any field , with a preference for those with a background in computer science or data analytics. Eligible batches include 2023, 2024, 2025, and 2026 graduates. A minimum CGPA of 7.0 is preferred to ensure a strong academic foundation. Prior internship or hands-on project experience is a strong advantage. Strong analytical and communication skills are required to collaborate effectively. Relevant certifications in data engineering or cloud technologies will enhance the application. Documentation & Portfolio Requirements Candidates should prepare a well-structured resume highlighting relevant skills and experiences, along with a GitHub or portfolio showcasing projects related to data engineering. Relevant certifications should also be included to strengthen the application. Pro Tip: Tailor your resume to emphasize your experience with Snowflake , AWS , and Python , as these are critical for the AI Data Engineer role at Thomson Reuters . Salary & Benefits 💰 Compensation Not Disclosed At Thomson Reuters , the compensation philosophy for the role of AI Data Engineer emphasizes offering a [Salary Display value] that reflects the competitive nature of the technology industry. The company is committed to ensuring that employees feel valued through a robust benefits package that supports both their professional and personal well-being. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Learning & Development Programs — access to training sessions and certifications to enhance your skills Flexible Work Arrangements — options for hybrid or remote work to promote work-life balance Performance Bonuses — annual bonuses based on individual and company performance Retirement Benefits — contributions to provident fund and pension plans for long-term security Additional Perks & Benefits Meal Allowances — daily meal vouchers to support your nutrition Transportation Support — assistance with commuting costs to ensure convenience Stock Options — opportunities to own a part of the company through equity Mentorship Programs — guidance from industry leaders to foster your career growth Wellness Programs — initiatives promoting mental and physical health Career Progression & Salary Growth The appraisal cycles at Thomson Reuters typically occur annually, with raises averaging around 10-15% based on performance. The company has a clear promotion timeline, encouraging rapid career advancement through internal mobility opportunities and regular performance evaluations. NexisGrow.com tip: When discussing salary, research industry standards for AI Data Engineer roles in Hyderabad, India , and be prepared to articulate your value based on skills and experience. Selection Process The hiring philosophy at Thomson Reuters focuses on finding candidates who not only possess the right technical skills for the AI Data Engineer role but also align with the company’s core values and culture. The selection process is designed to be thorough yet efficient, ensuring a good fit for both the candidate and the organization. 1 Round 1: Initial Screening Interview — conducted by a recruiter to assess technical skills and cultural fit 2 Round 2: Technical Interview — focused on data engineering concepts, tools, and problem-solving scenarios relevant to the role 3 Round 3: Final Interview — discussion with team leads or managers about project experiences and alignment with company values 4 Final Offer Stage — includes background checks and discussions on compensation and benefits What Each Round Tests Round 1 evaluates your communication skills and basic technical knowledge. Round 2 dives deeper into your proficiency with Python , SQL , and data engineering tools. Round 3 assesses your problem-solving abilities and how well you fit within the team culture. Timeline & Expectations The entire process from application to offer typically takes 4-6 weeks , depending on candidate availability. Expect timely communication from Thomson Reuters regarding your application status and next steps. Interview Prep Tip: Familiarize yourself with Thomson Reuters ' products and recent projects to demonstrate your interest and knowledge during interviews. How to Apply for AI Data Engineer at Thomson Reuters Apply Now — Thomson Reuters Create Your Profile — visit the application portal and set up your profile with accurate details. Upload Your Resume — ensure your resume highlights relevant skills and experiences that align with the AI Data Engineer role. Fill in the Application Form — complete all required fields, providing detailed information about your qualifications. Track Your Application — keep an eye on your email for confirmation and updates regarding your application status. Prepare for Interviews — review common interview questions and practice your responses. Resume & Profile Tips for This Role Highlight Technical Skills — emphasize your experience with Python , SQL , and data engineering tools. Showcase Projects — include any relevant hands-on project experience that demonstrates your capabilities. Emphasize Soft Skills — mention your problem-solving and communication skills . Tailor Your Resume — customize your resume to reflect the job description and required technologies. Applications are accepted on a rolling basis, so early submission is encouraged to increase your chances of consideration. Apply Now — Official Link NexisGrow.com does not charge any fees for job applications. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the eligibility criteria for the AI Data Engineer role at Thomson Reuters? Eligibility Tap to expand + Answer Candidates must hold a degree in any field, with a preference for computer science or data analytics. Eligible batches are 2023 to 2026, and both freshers and those with 4-6 years of experience are welcome. ? What is the interview process for AI Data Engineer at Thomson Reuters? Interview Tap to expand + Answer The interview process includes an initial screening, a technical interview assessing data engineering skills, and a final interview with team leads to evaluate fit and alignment with company values. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer You will primarily work with Snowflake, AWS, Python, SQL, and Presto, focusing on building and optimizing ETL pipelines and data management solutions. ? What is the salary and compensation for this role? Salary Tap to expand + Answer While the salary is not disclosed, Thomson Reuters is known for competitive compensation packages, including performance bonuses and growth opportunities. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer The role offers flexibility, with options for hybrid or remote work arrangements, aligning with industry norms for tech positions. ? What is the career growth path after joining Thomson Reuters as an AI Data Engineer? Growth Tap to expand + Answer Within 6-12 months, you can expect to take on more complex projects, with a clear roadmap for promotions and internal mobility opportunities over 2-3 years. ? How should I prepare for the AI Data Engineer interview at Thomson Reuters? Preparation Tap to expand + Answer Focus on brushing up on your technical skills in Snowflake, AWS, and Python, and prepare to discuss your past projects and problem-solving experiences. ? How do I apply and what documents are needed? Application Tap to expand + Answer To apply, click the Apply button and submit your resume, highlighting relevant skills and experiences. A cover letter is optional but can enhance your application. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Typically, there is a probation period of 3-6 months, during which performance will be evaluated to ensure a good fit within the team. ? What is the work culture like at Thomson Reuters? Culture Tap to expand + Answer The work culture is collaborative and inclusive, emphasizing continuous learning, diversity, and a supportive environment for all employees. Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com