Associate Data Engineer / Associate Data Scientist

V4c.ai’s interview process typically starts with a basic technical screening focusing on data structures, SQL, and Python fundamentals, followed by a deeper technical round that tests knowledge of ETL concepts and cloud basics. The final managerial interview assesses problem‑solving approach and cultural fit. Candidates should practice coding on platforms like LeetCode and review V4c.ai’s past interview experiences for better preparation.

V4c.ai promotes a learning‑first culture where engineers are encouraged to experiment and share knowledge. The company offers flexible remote work after the initial training, balanced with regular team sync‑ups and hackathons that foster growth and work‑life harmony.

BE/B.Tech degree in Computer Science, Information Technology, Electronics & Communication, or Data Science; minimum CGPA 8.0/10; batch year 2026; no active backlogs; ability to relocate to Pune for the training period; immediate joining availability.

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

V4c.ai is an emerging artificial intelligence startup headquartered in Pune, India, that builds end‑to‑end data‑driven platforms for enterprises across sectors such as finance, healthcare, and e‑commerce. Founded by a group of seasoned data scientists and engineers, the company focuses on delivering scalable machine‑learning pipelines, real‑time analytics, and intelligent automation solutions. Over the past few years, V4c.ai has secured multiple rounds of funding, expanded its client base to include Fortune 500 companies, and established a reputation for rapid innovation and a collaborative culture. The organization prides itself on a flat hierarchy, encouraging fresh talent to contribute ideas directly to product road‑maps and to work closely with senior leadership. The role of Associate Data Engineer / Associate Data Scientist is designed for recent graduates who are eager to translate classroom knowledge into production‑grade data solutions. Candidates will undergo a structured training program that covers modern data engineering tools, cloud platforms, and best practices in data modeling. After the training phase, they will join product teams to design, develop, and maintain data pipelines that ingest, transform, and serve large‑scale datasets for analytics and machine‑learning workloads. The position offers a blend of hands‑on engineering, problem‑solving, and exposure to real‑world business problems, making it an ideal launchpad for a career in data engineering or data science. Key Responsibilities: 1. Complete a 2‑month intensive training on tools such as Apache Airflow, Spark, Snowflake, and cloud services (AWS/GCP). 2. Collaborate with senior engineers to design robust, scalable data pipelines. 3. Develop ETL/ELT workflows using Python and SQL to ingest data from diverse sources. 4. Implement data quality checks, monitoring, and alerting mechanisms. 5. Optimize data storage and processing for cost‑efficiency and performance. 6. Participate in code reviews and adopt best practices for version control and CI/CD. 7. Work with data scientists to provide clean, feature‑engineered datasets for model training. 8. Document pipeline architecture, data dictionaries, and operational runbooks. 9. Contribute to troubleshooting production issues and root‑cause analysis. 10. Continuously learn emerging technologies and propose improvements to existing workflows. Tech Stack: Python, SQL, Apache Airflow, Apache Spark, Snowflake/Redshift, AWS/GCP services (S3, Lambda, BigQuery), Docker, Git, CI/CD tools. Growth Path: Successful associates can progress to Data Engineer I, Senior Data Engineer, or Data Scientist roles within 12‑18 months, with opportunities to lead projects, mentor new hires, and eventually move into architecture or product management positions. The company encourages internal mobility and provides regular skill‑upgradation workshops. Why Join V4c.ai? The organization offers a competitive CTC of 5.2 LPA plus a 12 K accommodation allowance during the training period, a clear roadmap for career advancement, and the chance to work on cutting‑edge AI products that impact real customers. The blend of structured learning, mentorship from industry veterans, and exposure to production environments makes this role a fast‑track to becoming a proficient data professional.