Data Analyst/Engineer

Candidates typically face a three‑round interview process: an initial technical screen covering Python and SQL, a second round focused on data engineering concepts and system design, followed by an HR discussion. The difficulty is moderate, with emphasis on problem‑solving and practical knowledge of data pipelines.

Blackbox fosters a collaborative environment with a focus on mentorship and skill development. Employees enjoy a healthy work‑life balance, flexible working hours, and opportunities for cross‑functional projects.

Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, Mathematics, or related fields. Minimum 60% marks or 6.5 CGPA. No backlog allowed. Recent graduates from any batch year are welcome.

Round 1: Technical (Coding + SQL) → Round 2: System Design & Data Engineering concepts → Round 3: HR

Black Box is a fast‑growing technology firm headquartered in Navi Mumbai, focusing on delivering innovative data solutions to a diverse set of clients across finance, retail, and healthcare. With a culture that champions experimentation and continuous learning, the company has built a reputation for turning complex data challenges into scalable products. The team is small but highly collaborative, and every member is encouraged to contribute ideas that shape the product roadmap. The Associate – Data Engineer role is designed for recent graduates who are passionate about data and eager to transition from academic projects to production‑grade engineering. As an associate, you will work closely with senior engineers to design, build, and maintain robust data pipelines that feed analytics and machine learning models. You will get hands‑on exposure to modern data infrastructure, including orchestration with Apache Airflow, stream processing with Apache Flink, and data storage in PostgreSQL. Key Responsibilities: 1. Develop and maintain ETL scripts to extract, transform, and load data from multiple sources. 2. Design and implement PostgreSQL schemas, write efficient SQL queries, and optimize database performance. 3. Build and schedule Airflow DAGs to automate data workflows. 4. Collaborate on real‑time data streaming solutions using Apache Flink. 5. Write clean, well‑documented Python code and perform unit testing. 6. Monitor pipeline health, troubleshoot failures, and implement alerts. 7. Participate in code reviews and share best practices. 8. Keep abreast of emerging data engineering tools and techniques. 9. Contribute to documentation and knowledge sharing sessions. 10. Assist in setting up CI/CD pipelines for data workflows. Tech Stack: Python, SQL, PostgreSQL, Apache Airflow, Apache Flink, Pandas, Git, Linux, basic cloud services (AWS/GCP/Azure). Growth Path: Starting as an associate, you can progress to Senior Data Engineer, Lead Data Engineer, and eventually to Data Engineering Manager or Head of Data Platform, depending on performance and leadership skills. Why Join: Black Box offers a dynamic work environment where your ideas directly influence product development. You will receive mentorship from seasoned engineers, access to learning resources, and the opportunity to work on high‑impact projects that shape the company’s data strategy. The compensation package is competitive, and the company values work‑life balance, encouraging flexible working arrangements where possible.