Position: Scala Data Engineer Experience: 7+ years Location: Bangalore (Hybrid) Mandatory Skills * Strong expertise in **Scala** (preferred over Java) and **SQL** * Hands-on experience with **Apache Spark** * Strong knowledge of **Data Structures and Algorithms** * Proven experience in **data engineering on large-scale systems** * Exposure to **cloud-native environments** (Azure preferred) --- ### **Preferred Skills** * **Big Data Technologies:** Hadoop, Kafka, Structured Streaming, Event Hub * **CI/CD Tools:** Git, Docker, Jenkins * **Data Lake & Storage Formats:** Medallion Architecture, Parquet, Apache Iceberg * **Workflow & Orchestration:** Airflow, Oozie * **Databases:** NoSQL DBs * **Data Governance Tools:** Alation, Collibra, Lineage, Metadata management --- ### **Key Responsibilities** * **Design & Build:** Develop and optimize scalable data pipelines using **Spark** and **Scala** * **Streaming Solutions:** Build real-time/near real-time data pipelines leveraging **Kafka** and **Event Hubs** * **Architecture & Performance:** Own end-to-end design and architecture of data systems with a focus on **scalability, reliability, and performance** * **Mentorship:** Guide and mentor junior engineers, enforce best practices, and maintain **high-quality coding standards** * **Collaboration:** Work closely with cross-functional teams to ensure **seamless product delivery** and integration --- Would you like me to make this JD **more recruiter-friendly** (short, catchy, with highlights for posting on LinkedIn/Job boards) or keep it in a **detailed technical format** for internal/hiring manager use?