📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company Fortive 👥 Experience 2+ years 🎓 Qualification Bachelor’s degree in Computer Science, Engineering, or a related technical discipline 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹7.5 – ₹13.0 LPA 🏢 Industry Technology 🛠 Key Skills Microsoft Azure ADF Databricks ADLS Azure SQL SQL Python PySpark Industry Data Research & Validation P16 at Fortive — Full Details & How to Apply Fortive is seeking a skilled Industry Data Research & Validation P16 in Bengaluru, Karnataka, India , where you'll leverage Microsoft Azure tools to build scalable data pipelines. This role enhances data quality and business intelligence, directly impacting decision-making processes across the organization. The demand for data engineers is surging, with companies increasingly relying on cloud solutions for data management and analytics. The Industry Data Research & Validation P16 role at Fortive is pivotal in this landscape, focusing on utilizing advanced technologies to streamline data processes, ensuring that the organization remains competitive and efficient. Founded in 2016 , Fortive has rapidly grown to over 25,000 employees globally, specializing in advanced technology solutions. This growth reflects the company's commitment to innovation, making it an attractive employer for those looking to advance their careers in technology. The culture at Fortive fosters collaboration and continuous learning, essential for anyone stepping into the Industry Data Research & Validation P16 jobs. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor’s degree in Computer Science, Engineering, or a related technical discipline to apply. Candidates should have 2+ years experience in relevant fields. The salary for this position ranges from ₹7.5 – ₹13.0 LPA , making it a competitive opportunity in the Bengaluru, Karnataka, India jobs market. In this role, you'll gain hands-on experience with cutting-edge tools like Databricks , Azure SQL , SQL , Python , and PySpark . This exposure enhances your technical skills and opens doors to advanced positions in data engineering within just a few years, paving the way for a robust career trajectory. 📊 Role Difficulty: Medium | Competition Level: High | Fresher Friendly: Mostly Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the Industry Data Research & Validation P16 role at Fortive is to design and implement robust data solutions that enhance data quality and accessibility across the organization. Design and implement scalable cloud data pipelines using Azure Data Factory (ADF) to streamline data ingestion processes. Utilize Databricks for data processing and transformation, ensuring high-quality data outputs that meet project requirements. Collaborate with cross-functional teams, including data analysts and software developers, to align data strategies and enhance project outcomes. Monitor and optimize data performance metrics, aiming for a Data Quality Score of 100 to ensure data reliability. Take ownership of data validation processes, ensuring accuracy and reliability in reporting through rigorous testing. Document data processes and workflows, facilitating knowledge sharing within the team to enhance operational efficiency. Engage in problem-solving discussions with clients to address data-related challenges effectively, utilizing technical expertise. In this role, you will have the opportunity to take ownership of critical data processes, directly impacting the quality and reliability of data-driven decisions. Required Skills & Technical Competencies The skill profile for this role requires a blend of technical expertise and effective communication to ensure successful data management and collaboration. Technical Skills Microsoft Azure — advanced — critical for building and managing cloud data solutions, leveraging its various services for optimal performance. Azure Data Factory (ADF) — advanced — essential for orchestrating data workflows, with practical applications in designing efficient data pipelines. SQL — intermediate — used daily for querying and managing databases, requiring a solid understanding of database management principles. Python — intermediate — utilized for data manipulation and automation tasks, focusing on libraries such as Pandas and NumPy for effective data handling. Effective communication — advanced — necessary for collaborating with technical and non-technical stakeholders to ensure alignment on data strategies. Soft Skills & Professional Competencies Analytical thinking — essential for identifying data trends and anomalies that impact decision-making. Attention to detail — crucial for ensuring data accuracy and reliability in reporting processes. Problem-solving — necessary for addressing data-related challenges and providing effective solutions. Collaboration — important for working with diverse teams to achieve common data objectives. Good to Have (Bonus Skills) Experience with PySpark — enhances data processing capabilities, particularly for large datasets. Familiarity with Azure Data Lake Storage (ADLS) — crucial for managing data lakes and ensuring data accessibility. Knowledge of data visualization tools — beneficial for presenting data insights to stakeholders effectively. When showcasing these skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact in data management. Eligibility Criteria This role is designed for recent graduates and professionals with a strong technical background in data engineering and analytics. Bachelor’s degree in Computer Science , Engineering , or a related field, providing a solid foundation in technical concepts. Eligible batches include 2023 to 2026 , targeting fresh graduates ready to enter the workforce. A minimum of 2 years of experience is preferred, but freshers with relevant internships may also be considered. Academic performance should ideally be above 60% , reflecting a strong grasp of technical subjects. A portfolio showcasing relevant projects or internships in data engineering will be advantageous. Documentation & Portfolio Requirements Submit your resume in a clear format, including your educational background, relevant skills, and a brief description of projects or internships related to data engineering. Pro tip: Highlight specific projects where you utilized Azure or Databricks to demonstrate your hands-on experience and problem-solving capabilities in your application. Salary for Industry Data Research & Validation P16 at Fortive 💰 Compensation ₹7.5 – ₹13.0 LPA The advertised compensation for the Industry Data Research & Validation P16 role at Fortive is ₹7.5 – ₹13.0 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at Fortive The selection process at Fortive is designed to identify candidates who possess the technical skills and cultural fit necessary for success in the Industry Data Research & Validation P16 role. 1 Online Assessment — 60 minutes, testing technical skills in SQL and Python 2 Technical Interview — focuses on data engineering concepts, including Azure services and data pipeline design 3 Behavioral Interview — assesses cultural fit and problem-solving abilities through situational questions 4 HR Interview — discusses salary expectations and onboarding timelines Topic-wise Preparation Guide Round 1: Online Assessment SQL Queries — essential for database management and data retrieval — Khan Academy Python Basics — foundational programming concepts relevant to data manipulation — Codecademy Data Structures — understanding of arrays, lists, and dictionaries — GeeksForGeeks Cloud Fundamentals — basic concepts of cloud computing and services — Coursera Round 2: Technical Interview Azure Data Factory — in-depth knowledge of data orchestration techniques — Microsoft Docs Databricks — practical applications in data processing and analytics — Databricks Data Modeling — best practices for structuring data for analysis — W3Schools Performance Tuning — strategies for optimizing data workflows — GeeksForGeeks Data Governance — understanding data quality and compliance standards — Coursera Round 3: Behavioral Interview Behavioral Scenario — using the STAR method to discuss past experiences — MindTools Team Collaboration — examples of successful teamwork in projects — YouTube Technical Deep-Dive — discussing specific projects or technologies used — LinkedIn Learning Timeline & Expectations The typical timeline from application to offer can range from 2 to 4 weeks , depending on the number of candidates and scheduling availability. Focus on demonstrating both your technical expertise and your alignment with Fortive 's values during the interview process. Expected Interview Questions for Industry Data Research & Validation P16 at Fortive These questions are based on the role's actual tech stack and responsibilities. Technical Questions Explain how you would use Azure Data Factory to create a data pipeline. What are the advantages of using Databricks for data processing? How do you optimize SQL queries for performance? Describe your experience with Python libraries for data analysis. What is your approach to ensuring data quality in a project? How would you handle a data inconsistency issue? Behavioral Questions Describe a challenging project you worked on and how you overcame obstacles. How do you prioritize tasks when managing multiple projects? Give an example of a time you had to work with a difficult team member. What motivates you to excel in a data engineering role? Role-Specific Questions What strategies would you implement to improve data validation processes? How do you stay updated with the latest trends in data engineering? Describe a project where you successfully implemented a cloud data solution. Structure your answers using the STAR method to clearly articulate your experiences and outcomes. Resume Tailoring & ATS Keywords for Industry Data Research & Validation P16 Optimizing your resume for ATS is crucial for standing out in the application process for this role. ATS Keywords to Include Data Engineering Microsoft Azure Azure Data Factory Databricks SQL Python Data Validation Cloud Solutions Data Quality Data Pipelines PySpark Data Analysis Resume Tips for This Role Highlight relevant projects that demonstrate your technical skills in data engineering. Emphasize teamwork and collaboration experiences, especially in technical settings. Include links to your portfolio or GitHub showcasing your coding projects. Optimize for ATS by using keywords from the job description. Avoid including unrelated work experiences that do not showcase your technical abilities. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include generic skills or experiences that do not align with the job description. About Fortive Founded in 2016 , Fortive is headquartered in Everett, Washington , and operates in over 50 countries, employing more than 20,000 individuals globally. The company has established a significant presence in Bengaluru, Karnataka, India , where it focuses on delivering innovative technology solutions across various sectors. Fortive specializes in a range of products and services, including industrial automation , sensing technologies , and software solutions . These offerings are designed to enhance operational efficiency for clients in diverse industries, such as healthcare, manufacturing, and transportation, ensuring they remain competitive in their respective markets. The company has received multiple accolades for its workplace culture, including a high rating on Glassdoor for employee satisfaction. Programs for career development, such as mentorship and training initiatives, contribute to a supportive environment that fosters growth and innovation among employees. Recently, Fortive announced a strategic partnership aimed at enhancing its cloud capabilities, which reflects its ongoing commitment to innovation in the technology sector. This initiative is expected to bolster its offerings in data analytics and cloud services, positioning the company for future growth. For freshers in technology, Fortive serves as a robust launchpad into the industry. With access to mentorship and comprehensive training in advanced data engineering practices, new employees can quickly develop the skills necessary to thrive in a competitive job market. Why Join Fortive as Industry Data Research & Validation P16? Joining Fortive as an Industry Data Research & Validation P16 offers unparalleled exposure to cutting-edge technologies and a supportive environment for professional growth. Hands-on Experience — Gain practical skills with Microsoft Azure and Databricks , essential tools for modern cloud data engineering. Continuous Learning — Participate in workshops and obtain certifications that enhance your professional development and technical expertise. Career Advancement — After 1-2 years, explore potential career paths such as Senior Data Engineer or Data Architect, with opportunities for leadership roles. Collaborative Culture — Engage in cross-functional teamwork that encourages innovation and the sharing of ideas among diverse teams. Flexible Work Model — Benefit from a hybrid work arrangement that promotes a balanced lifestyle while being part of a vibrant tech hub in Bengaluru . According to NexisGrow.com, the Industry Data Research & Validation P16 role at Fortive provides a unique opportunity to develop critical skills in data engineering while being part of a forward-thinking organization. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Industry Data Research & Validation P16 at Fortive? Eligibility Tap to expand + Answer Candidates with Bachelor’s degree in Computer Science, Engineering, or a related technical discipline and 2+ years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Microsoft Azure, ADF, Databricks, ADLS, Azure SQL. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹7.5 – ₹13.0 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Fortive? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Microsoft Azure, ADF, Databricks, ADLS, Azure SQL. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Industry Data Research & Validation P16 interview? Preparation Tap to expand + Answer (1) Core concepts of Microsoft Azure, ADF, Databricks, ADLS, Azure SQL, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Fortive research, (5) Clear communication. ? What is the work culture like at Fortive? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Bengaluru Browse all Tech jobs Latest Fresher jobs More jobs at Fortive Work From Home jobs 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