📋 Job Details at a Glance 📍 Location Pune, Maharashtra, India 🏢 Company Ascendion 👥 Experience 0-2 years 🎓 Qualification Bachelor’s degree in Computer Science, IT, Engineering, Data Science, or a related technical field preferred 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹10–18 LPA 🏢 Industry Technology 🛠 Key Skills Python SQL PySpark Databricks ETL/ELT Azure AWS GCP LangChain Azure OpenAI AI + Data Engineer at Ascendion — Full Details & How to Apply Ascendion is seeking an AI + Data Engineer in Pune, Maharashtra, India , where you'll build scalable data pipelines using tools like Azure and Databricks. This role offers freshers a unique opportunity to work with advanced AI/ML models in a leading tech company. The demand for AI and data engineering skills is surging, with companies increasingly relying on data-driven decision-making. This makes the AI + Data Engineer role at Ascendion crucial, as it directly contributes to enhancing data capabilities that drive client solutions and user experiences. Founded in 2020 , Ascendion has rapidly grown to over 500 employees , specializing in innovative tech solutions across various industries. This growth reflects the company’s focus on leveraging cutting-edge technologies, making it an attractive employer for aspiring AI + Data Engineers . We encourage 2022, 2023, 2024, 2025 graduates with a Bachelor’s degree in Computer Science, IT, Engineering, Data Science, or a related technical field preferred to apply. Candidates with 0-2 years experience can expect a competitive salary ranging from ₹10–18 LPA . As an AI + Data Engineer , you will work with essential skills such as Python , SQL , PySpark , Databricks , and cloud platforms like Azure , AWS , and GCP . This role not only opens doors to a high-demand field but also provides a structured growth path, setting you apart from competitors. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: 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 AI + Data Engineer at Ascendion will design and implement robust data pipelines, ensuring seamless integration of AI/ML models while optimizing data retrieval processes for enhanced project efficiency. Design and implement scalable data pipelines using Azure and Databricks to support AI/ML model integration, ensuring high performance and reliability. Optimize SQL queries to enhance data retrieval efficiency, directly impacting project timelines and improving overall workflow. Collaborate with data scientists and software engineers to ensure seamless integration of AI solutions, leveraging Python for effective communication and execution. Monitor data pipeline performance metrics, ensuring high availability and reliability, utilizing tools like Airflow for orchestration. Take initiative in developing documentation for data processes, promoting knowledge sharing within the team and enhancing operational efficiency. Communicate findings and insights to stakeholders, facilitating data-driven decision-making through effective use of SQL and Python . Troubleshoot data-related issues, providing solutions to enhance client-facing applications, utilizing Docker for containerization. This role fosters an ownership culture, allowing you to directly impact project outcomes and contribute to the innovative solutions at Ascendion . Required Skills & Technical Competencies The ideal candidate will possess a strong technical skill profile, essential for executing data engineering tasks effectively in a collaborative environment. Technical Skills Python — intermediate — essential for scripting and automating data processes, enabling efficient data manipulation and integration. SQL — intermediate — used for querying databases and optimizing data retrieval, critical for daily tasks and project efficiency. PySpark — intermediate — applied for processing large datasets, enabling efficient data manipulation and integration with AI models. Azure — intermediate — crucial for deploying cloud-based solutions and managing data storage, ensuring scalability and performance. AWS — intermediate — utilized for cloud services and data management, supporting the deployment of applications and data pipelines. Docker — intermediate — important for containerization of applications, facilitating consistent deployment across environments. Kubernetes — intermediate — used for orchestration of containerized applications, ensuring efficient resource management and scalability. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences where you applied these technologies effectively. Eligibility Criteria This role is designed for recent graduates with a strong technical foundation, eager to contribute to innovative data engineering solutions. Candidates must hold a Bachelor's degree in Computer Science , IT , Engineering , Data Science , or a related field. Eligible batches include 2022 , 2023 , 2024 , and 2025 graduates, ensuring fresh perspectives and up-to-date skills. While 0-2 years of experience is preferred, freshers are encouraged to apply, valuing potential over prior experience. A minimum CGPA of 6.0 is preferred, reflecting a solid academic background relevant to technical skills. Having a portfolio or GitHub showcasing relevant projects can provide a competitive edge in the application process. Documentation & Portfolio Requirements Ensure your resume is well-structured, highlighting your technical skills and relevant projects. Include links to your GitHub or portfolio to demonstrate your capabilities. Pro tip: Tailor your application to highlight specific projects where you utilized Python , SQL , and Azure , showcasing your hands-on experience. Salary for AI + Data Engineer at Ascendion 💰 Compensation ₹10–18 LPA The advertised compensation for the AI + Data Engineer role at Ascendion is ₹10–18 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for AI + Data Engineer Upskilling with the right resources significantly enhances your chances of selection for the AI + Data Engineer role at Ascendion . Recommended Courses & Resources Python — Essential for data manipulation and analysis in engineering tasks. SQL — Crucial for database management and querying data efficiently. Databricks — Important for collaborative data engineering and analytics workflows. Azure — Key for cloud-based data solutions and services. KodNest — Provides practical coding experience relevant to data engineering projects. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor your resume — Ensure it reflects the specific skills and technologies mentioned in the job description. ❌ Neglecting to showcase relevant projects — Highlight internships or projects that demonstrate practical experience. ❌ Using generic language — Be specific about achievements or contributions in previous roles. ❌ Overlooking formatting — Proper formatting affects readability and ATS compatibility. ❌ Not researching Ascendion — Familiarize yourself with their recent projects or news for interviews. ❌ Ignoring application deadlines — Follow application instructions precisely and submit on time. Before You Apply — Checklist ✅ Research Ascendion 's recent projects and technologies to tailor your application. ✅ Update your resume to highlight relevant skills and experiences specific to the role. ✅ Prepare a cover letter that reflects your interest in AI and data engineering. ✅ Gather references who can speak to your technical abilities and teamwork. ✅ Ensure your LinkedIn profile is updated and aligns with your resume. ✅ Practice common interview questions related to data engineering and AI. ✅ Submit your application through the provided link, ensuring all documents are attached. ✅ Follow up on your application status after a week to express continued interest. Resume Tailoring & ATS Keywords for AI + Data Engineer Optimizing your resume for ATS is crucial for increasing visibility for the AI + Data Engineer role at Ascendion . ATS Keywords to Include AI Engineer Data Engineer Python SQL PySpark Databricks ETL Azure AWS Kafka Docker Kubernetes Resume Tips for This Role Highlight relevant coursework or projects that demonstrate your technical skills in data engineering. Emphasize teamwork and collaboration experiences, as Ascendion values cross-functional collaboration. Include links to your GitHub or portfolio showcasing projects related to AI and data engineering. Optimize your resume with keywords from the job description to pass ATS screenings. Avoid including unrelated work experience that does not demonstrate your technical capabilities. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including vague statements or irrelevant experiences that do not pertain to the role. How to Apply for AI + Data Engineer at Ascendion Apply Now — Ascendion Visit the application portal at the provided URL to start your application. Upload your resume in PDF format, ensuring it is tailored to the job description. Fill out the application form accurately, paying attention to required fields. After submission, expect an email confirmation regarding your application status. You can track your application status through the portal or by contacting HR. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Ascendion NexisGrow.com does not charge any fees for job applications. Ascendion Ascendion was founded in 2020 and is headquartered in Pune, Maharashtra . With a global footprint, the company has rapidly expanded its operations, serving clients across multiple continents. As of now, Ascendion employs over 1,000 professionals , showcasing its growth in the technology sector. The core offerings of Ascendion include advanced AI-driven platforms and comprehensive data engineering services. Notable technologies such as Azure , AWS , and GCP are integral to their solutions. Additionally, Ascendion specializes in ETL/ELT processes and utilizes tools like Databricks and Kafka to enhance operational efficiency for various sectors. Ascendion has cultivated a collaborative culture that has earned it positive reviews on platforms like Glassdoor. The company actively invests in employee development through mentorship programs and training initiatives. In 2022 , Ascendion was recognized as one of the top workplaces in Pune , reflecting its commitment to fostering a supportive environment. Recently, Ascendion secured significant funding to enhance its AI capabilities, positioning itself as a leader in the technology landscape. This funding will facilitate the development of innovative solutions, further solidifying Ascendion 's role in the industry. The company is also exploring strategic partnerships to expand its service offerings. For freshers in technology, Ascendion provides a robust career launchpad. With hands-on experience in AI and data engineering, new employees benefit from mentorship and exposure to real-world projects. This foundation equips them with essential skills, making Ascendion an ideal starting point for a successful career in technology. Company Details Industry Technology Location Pune, Maharashtra, India Connect With Us Careers Apply Now Website 🔗 ascendion.eightfold.ai Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for AI + Data Engineer at Ascendion? Eligibility Tap to expand + Answer Candidates with Bachelor’s degree in Computer Science, IT, Engineering, Data Science, or a related technical field preferred and 0-2 years experience are eligible. Eligible batches: 2022, 2023, 2024, 2025. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, SQL, PySpark, Databricks, ETL/ELT. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹10–18 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Ascendion? 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: Python, SQL, PySpark, Databricks, ETL/ELT. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the AI + Data Engineer interview? Preparation Tap to expand + Answer (1) Core concepts of Python, SQL, PySpark, Databricks, ETL/ELT, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Ascendion research, (5) Clear communication. ? What is the work culture like at Ascendion? 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 Pune Browse all Tech jobs More jobs at Ascendion 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