Data Architect

Overview

Data Architect

Exp : 10 to 18 yrs

Skills : Data Engineering, Apache Spark, Apache Kafka, Java, Python, Node.js, HDFS, Redis, Azure

Mandatory

• Strong Data Architect or Lead Data Engineer Profile
• Must have 10+ YOE in Data Engineering roles, with at least 3+ years in a Leadership role (Max 18 YOE, not more)
• Must have 8+ YOE in hands-on backend coding with Java (Highly preferred) or Python, Node.JS, GoLang
• Must have strong experience on large distributed architectures using any of Kafka, Spark, Hive, Hadoop
• Must have strong experience in data transformation 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 Experience in any NoSQL databases such as Redis, Cassandra, MongoDB, and TiDB.
• Mandatory Expertise with any one cloud platforms (Azure / AWS / Google Cloud)
• Mandatory (Team Management) - Must have managed a team of atleast 5+ Data Engineers (Read Leadership role in CV)

Job Type: Full-time

Experience:

• total: 10 years (Required)

Work Location: Remote