Associate Data Engineer / Associate Data Scientist

Typical Google interview experience consists of 3‑4 rounds: an initial coding screen focusing on data structures and algorithms, a deeper technical round covering system design or data pipeline concepts, followed by a behavioral round assessing cultural fit. The difficulty is high, so thorough practice on coding platforms and clear articulation of problem‑solving approaches are crucial.

Docs.google.com (Google) is renowned for an open, innovative culture that encourages continuous learning and cross‑team collaboration. Employees benefit from generous learning budgets, clear career ladders, and a strong emphasis on work‑life balance, with flexible hours and remote‑work options after the initial onboarding period.

BE/B.Tech degree in Computer Science, Information Technology, Electronics & Communication Engineering, Data Science or related technical discipline; CGPA above 7.0 on a 10‑point scale; graduating batch of 2026; no active backlogs; immediate joining preferred; willing to work from Pune or Chennai office during training; able to work remotely after training.

Round 1 – L1 Technical Round: basic programming, Python, SQL, analytical thinking → Round 2 – L2 Technical Round: deeper technical concepts, data pipelines, project discussion → Round 3 – Technical + Managerial Round: technical depth, communication, teamwork, scenario handling → Final Interview: 10‑minute technical discussion on fundamentals and projects → HR Process: joining formalities and offer letter

v4c.ai is an emerging AI‑driven data solutions startup that focuses on building end‑to‑end data pipelines, analytics platforms, and machine‑learning services for enterprises across India. Founded by a team of seasoned data engineers and scientists, the company blends cutting‑edge cloud technologies with a strong product mindset to help clients turn raw data into actionable insights. With offices in Pune and Chennai, v4c.ai is expanding rapidly and is looking to nurture fresh talent that can grow alongside the organization. The Associate Data Engineer and Associate Data Scientist roles are entry‑level positions designed for 2026 graduates who have a solid grounding in programming, databases, and basic statistics. Selected candidates will first undergo a structured, on‑site training program that covers modern data engineering tools (such as Apache Airflow, Spark, and cloud data warehouses) and foundational data‑science techniques (including exploratory analysis, model building, and visualization). After the training phase, trainees will be placed on live projects, working remotely with senior engineers and data scientists to deliver real‑world solutions for v4c.ai’s clients. Key Responsibilities: 1. Participate in a hands‑on training curriculum covering data pipelines, ETL/ELT processes, and cloud platforms. 2. Assist senior engineers in designing, building, and maintaining scalable data pipelines. 3. Perform data extraction, transformation, and loading using Python and SQL. 4. Conduct data cleaning, validation, and quality checks on large, heterogeneous datasets. 5. Support exploratory data analysis, pattern identification, and basic statistical reporting. 6. Contribute to the preparation of datasets for machine‑learning model development. 7. Document data workflows, pipeline architecture, and operational procedures. 8. Troubleshoot data‑related issues and propose optimization strategies. 9. Collaborate with cross‑functional teams to translate business requirements into technical specifications. 10. Continuously learn and adopt emerging tools such as AWS Glue, Azure Data Factory, or GCP BigQuery. Tech Stack: Python (core language, Pandas, NumPy), SQL (MySQL/PostgreSQL), Cloud services (AWS, Azure, GCP), Version control (Git/GitHub), Basic Linux, Data‑visualisation (Matplotlib/Seaborn), Introductory ML libraries (scikit‑learn). Growth Path: Successful trainees can progress to Associate Engineer, then to Data Engineer, Senior Data Engineer, and eventually to Lead Engineer or Data Architecture roles. Parallel tracks exist for data science, allowing movement to Data Analyst, Data Scientist, and Machine‑Learning Engineer positions based on performance and interest. Why Join v4c.ai? The company offers a fast‑paced learning environment, exposure to real client data, mentorship from industry veterans, and a clear roadmap to senior technical roles. The hybrid model—office‑based training followed by remote project work—provides flexibility while ensuring strong foundational skills. Fresh graduates will gain industry‑relevant experience that is often hard to acquire in traditional entry‑level jobs.