Key Responsibilities:

• Own & implement new solutions around the area of Data, AI & ML
• You will lead the new age data architecture solutions & big data implementation for the ecommerce business.
• Build a robust real-time & batch analytics platform for analytics & machine-learning
• Design and develop a scalable data pipeline for the organization’s data warehouse and other data engineering solutions.
• Collaborate with various departments to develop, maintain a data platform solution, and recommend emerging technologies for data storage, processing, and analytics
• An accomplished Data Architect who brings significant experience in building and maintaining a highly scalable infrastructure for a Retail or eCommerce-based platforms. Strong experience in implementing data/bigdata architectures with high volume and throughput
• Instrumental in driving key initiatives related to data and analytics engineering, focus on building and maintaining a scalable data platform to acquire, process, analyse data in real-time as well batch
• Hands on experience in implementing real-time as well as batch processing big data technologies (Spark, Storm, Kafka, Flink, MapReduce, Yarn, Pig, Hive, HDFS, Oozie etc)
• The incumbent will bring exceptional know-how of Data Engineering landscape; create a date driven organization, including strategic data platform upliftment to scale out large-scale data processing using big data technology stack.
• Extensive experience in managing and scaling highly available, large, multi-datacentre across Cassandra & MongoDB clusters in production and lower environments.
• Experience in gathering and processing raw data at scale including writing scripts, web scraping, calling APIs, writing SQL queries
• Work with development and infrastructure teams to review application data models and traffic requirements; identify data model issues and potential bottlenecks; recommend schema design changes, compaction strategies, & other improvements.
• Drive an overall data architecture, data governance strategy with domain expertise that supports the information needs of the business in a flexible but secure environment.

Education Qualification and Experience:

• An ideal candidate would bring 12+ years of experience in highly scalable data systems with minimum 4 Years of experience in implementing data/bigdata architectures with high volume and throughput in retail or commerce environment.
• Bachelors or advanced degree (MS / Higher) in Computer science/Applied mathematics/Data management/Information Systems.
• Solid understanding of big data modelling patterns and anti-patterns; experience working closely with development teams to design & optimize database schema based on application access patterns.
• Accountable for implementing data policies, standards, and processes within their domain, conduct impact/root cause analysis for incoming data governance requests
• Experience with the design and implementations of data processors, file storage and other graphical components of the Data Architectures
• Experience with configuration management and source control systems (Jenkins, ZooKeeper, Ansible, Chef, Puppet, GIT, SVN).
• Solid understanding of Unix/Linux operating system management & fundamentals.
• Bachelors or advanced degree (MS / Higher) in Computer science/Applied mathematics/Data management/Information Systems.