Job
Description
Budget 115 to 130 LPA Role & Responsibilities Lead and mentor a team of data engineers, ensuring high performance and career growth. Architect and optimize scalable data infrastructure, ensuring high availability and reliability. Drive the development and implementation of data governance frameworks and best practices. Work closely with cross-functional teams to define and execute a data roadmap. Optimize data processing workflows for performance and cost efficiency. Ensure data security, compliance, and quality across all data platforms. Foster a culture of innovation and technical excellence within the data team. Ideal Candidate 10+ years of experience in software/data engineering, with at least 3+ years in a leadership role. Expertise in backend development with programming languages such as Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS. Proficiency in SQL, Python, and Scala for data processing and analytics. Strong understanding of cloud platforms (AWS, GCP, or Azure) and their data services. Strong foundation and expertise in HLD and LLD, as well as design patterns, preferably using Spring Boot or Google Guice Experience in big data technologies such as Spark, Hadoop, Kafka, and distributed computing frameworks. Hands-on experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery Deep knowledge of data governance, security, and compliance (GDPR, SOC2, etc.). Experience in NoSQL databases like Redis, Cassandra, MongoDB, and TiDB. Familiarity with automation and DevOps tools like Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana, and ELK. Proven ability to drive technical strategy and align it with business objectives. Strong leadership, communication, and stakeholder management skills. Preferred Qualifications: Experience in machine learning infrastructure or MLOps is a plus. Exposure to real-time data processing and analytics. Interest in data structures, algorithm analysis and design, multicore programming, and scalable architecture. Prior experience in a SaaS or high-growth tech company. Review Criteria Mandatory Strong Data Architect, Lead Data Engineer, Engineering Manager / Director Profile Mandatory (Experience 1) - Must have 10+ YOE in Data Engineering roles, with at least 2+ years in a Leadership role Mandatory (Experience 2) - Must have 7+ YOE in hands-on Tech development with Java (Highly preferred) or Python, Node.JS, GoLang Mandatory (Experience 3) - Must have recent 4+ YOE with high-growth Product startups, and should have implemented Data Engineering systems from an early stage in the Company Mandatory (Experience 4) - Must have strong experience in large data technologies, tools like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto etc. Mandatory (Experience 5) - Strong expertise in HLD and LLD, to design scalable, maintainable data architectures. Mandatory (Team Management) - Must have managed a team of atleast 5+ Data Engineers (Read Leadership role in CV) Mandatory (Education) - Only IIT colleges Mandatory (Company) - B2B SaaS Companies with High data-traffic
