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.
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