Job Title

Key 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. Required Skills & Experience: ● 12+ 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.