Associate Data Engineer / Associate Data Scientist

V4C.ai’s interview process typically starts with a basic technical screen focusing on data structures, SQL queries, and problem‑solving ability, followed by a deeper technical round that assesses knowledge of data pipelines and cloud concepts. The final stages involve a short technical interview with a senior engineer and an HR discussion covering cultural fit and career aspirations.

V4C.ai fosters a collaborative environment where learning is continuous and ideas are encouraged. Employees benefit from mentorship, regular knowledge‑sharing sessions, and a balanced work‑life approach, with flexibility to work remotely after the initial training period.

Recent BE/B.Tech graduates in Computer Science, Information Technology, Electronics & Communication, or Data Science (AI/ML). Minimum CGPA 7.0/10. No active backlogs. Must be able to work from Pune office during the 3‑month training period; remote work permitted after training. Immediate joiners preferred. Candidates from the 2025 or 2026 batch are ideal.

Round 1: L1 Technical round → Round 2: L2 Technical round → Round 3: L3 Technical cum Managerial → Final interview: 10‑minute technical assessment → HR process

V4C.ai is an emerging artificial‑intelligence and data‑analytics startup headquartered in Bangalore, India. The company focuses on building end‑to‑end data platforms for enterprises, leveraging modern cloud services, machine‑learning pipelines, and real‑time analytics. With a small but fast‑growing team, V4C.ai aims to democratise data‑driven decision making for businesses across sectors such as fintech, health‑tech, and e‑commerce. The firm promotes a culture of continuous learning, hands‑on experimentation, and rapid product delivery, making it an attractive destination for fresh engineering talent. The Associate Data Engineer / Associate Data Scientist role is designed for recent graduates eager to dive into the world of data engineering and data science. Selected candidates will undergo a structured three‑month training program at the Pune office, where they will be mentored by senior engineers and data scientists. Post‑training, the position converts to a full‑time remote role, allowing the employee to work from anywhere while contributing to live production pipelines and analytical models. Key Responsibilities: 1. Participate in a comprehensive training curriculum covering modern data‑engineering tools (Airflow, DBT, Spark) and cloud platforms (AWS/GCP). 2. Collaborate with senior engineers to design, develop, and optimise scalable data pipelines. 3. Build and maintain data ingestion workflows for structured and semi‑structured datasets. 4. Implement data quality checks, monitoring, and alerting mechanisms. 5. Assist in exploratory data analysis and feature engineering for machine‑learning models. 6. Write efficient SQL queries and Python scripts for data transformation and analysis. 7. Document pipeline architecture, data dictionaries, and standard operating procedures. 8. Participate in code reviews, sprint planning, and agile ceremonies. 9. Contribute to performance tuning and cost‑optimization of cloud resources. 10. Stay updated with emerging technologies and propose improvements to existing workflows. Tech Stack: Python, SQL, Pandas, PySpark, Apache Airflow, DBT, AWS (S3, Redshift, Lambda) or GCP (BigQuery, Cloud Storage), Docker, Git, Linux. Growth Path: Successful interns can transition to full‑time Associate Data Engineer or Associate Data Scientist roles, with clear promotion tracks to Senior Engineer, Lead Engineer, and eventually Data Architecture or Machine‑Learning Lead positions. Continuous up‑skilling is encouraged through internal workshops and external certifications. Why Join V4C.ai? The company offers a blend of structured learning and real‑world project exposure, competitive compensation (CTC or stipend with accommodation support), and a flexible remote work model after training. Freshers get the rare opportunity to work side‑by‑side with industry‑experienced mentors, accelerate their career in data engineering/science, and be part of a fast‑growing AI‑driven organization.