Data Architect

2 weeks ago

Mumbai, India Talent Socio Full time

Must Have :- Must have 10+ YOE in Data Engineering roles, with at least 2+ years in a Leadership role- Must have 7+ YOE in hands-on Tech development with Java (Highly preferred) or Python, Node.JS, GoLang- Must have recent 4+ YOE with high-growth Product startups, and should have implemented Data Engineering systems from an early stage in the Company- Must have strong experience in large data technologies, tools like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto etc.- Strong expertise in HLD and LLD, to design scalable, maintainable data architectures.- Must have managed a team of atleast 5+ Data Engineers- Must be from Tier - 1 Colleges, preferred IIT- B2B Product Companies with High & 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 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 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. (ref:hirist.tech)

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