Job Title

Role Summary: We are looking for a seasoned Engineering Manager to lead our Big Data engineering efforts. You will architect, oversee, and mentor a team responsible for designing scalable data infrastructure and pipelines that empower intelligent analytics and decision‑making. What would you be doing/ Expected from this role? • Team Leadership & Management o Lead, mentor, and grow a team of data engineers. o Set clear goals, provide regular feedback, and manage performance. o Foster a collaborative, high-performing engineering culture. • Technical Strategy & Execution o Architect and implement robust, scalable data pipelines and ETL processes. o Drive the development of data models, data lakes, and data warehouses. o Partner with data scientists, analysts, and software engineers to deliver high-quality data solutions. • Project & Stakeholder Management o Collaborate with cross-functional teams to understand business needs and translate them into technical requirements. o Manage project timelines, prioritize tasks, and ensure timely delivery. o Ensure compliance with data governance and security policies. • Process Improvement o Establish best practices for data engineering, including testing, version control, and documentation. o Evaluate and integrate new technologies and tools as appropriate. o Continuously improve system performance, cost, and scalability. Who are we looking for? • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. • 9+ years of experience in data engineering or software engineering. • 2+ years of experience in a leadership or managerial role. • Expertise in SQL and data modelling. • Strong proficiency in Python, Scala, or Java. • Experience with data pipeline orchestration tools (e.g., Airflow). • Familiarity with big data technologies (e.g., Spark, EMR). • Experience with cloud platforms (e.g., AWS) and services like S3, Redshift. • Solid understanding of data warehousing concepts and real-time data streaming (e.g., Kafka). • Excellent communication and interpersonal skills. • Strong problem-solving skills and attention to detail. • Ability to balance technical leadership with people management.