Big Data

·      Core responsibilities to include analyze business requirements and designs for accuracy and completeness. Develops and maintains relevant product.

·      BlueYonder is seeking a Senior/Principal Architect in the Data Services department (under Luminate Platform ) to act as one of key technology leaders to build and manage BlueYonder’ s technology assets in the Data Platform and Services.

·      This individual will act as a trusted technical advisor and strategic thought leader to the Data Services department. The successful candidate will have the opportunity to lead, participate, guide, and mentor other people in the team on architecture and design in a hands-on manner. You are responsible for technical direction of Data Platform. This position reports to the Global Head, Data Services and will be based in Bangalore, India.

·      Core responsibilities to include Architecting and designing (along with counterparts and distinguished Architects) a ground up cloud native (we use Azure) SaaS product in Order management and micro-fulfillment

·      The team currently comprises of 60+ global associates across US, India (COE) and UK and is expected to grow rapidly. The incumbent will need to have leadership qualities to also mentor junior and mid-level software associates in our team. This person will lead the Data platform architecture – Streaming, Bulk with Snowflake/Elastic Search/other tools

Our current technical environment:

·      Software: Java, Springboot, Gradle, GIT, Hibernate, Rest API, OAuth , Snowflake

·      • Application Architecture: Scalable, Resilient, event driven, secure multi-tenant Microservices architecture

·      • Cloud Architecture: MS Azure (ARM templates, AKS, HD insight, Application gateway, Virtue Networks, Event Hub, Azure AD)

·      Frameworks/Others: Kubernetes, Kafka, Elasticsearch, Spark, NOSQL, RDBMS, Springboot, Gradle GIT, Ignite

• Augmenting, improving, redesigning, and/or re-implementing Dolat's low-latency/high-throughput production trading environment, which collects data from and disseminates orders to exchanges around the world
• Optimizing this platform by using network and systems programming, as well as other advanced techniques
• Developing systems that provide easy access to historical market data and trading simulations
• Building risk-management and performance-tracking tools
• Shaping the future of Dolat through regular interviewing and infrequent campus recruiting trips
• Implementing domain-optimized data structures
• Learn and internalize the theories behind current trading system
• Participate in the design, architecture and implementation of automated trading systems
• Take ownership of system from design through implementation

• Bachelor’s or master’s degree in Computer Engineering, Computer Science, Computer Applications, Mathematics, Statistics, or related technical field. Relevant experience of at least 3 years in lieu of above if from a different stream of education.

• Well-versed in and 3+ hands-on demonstrable experience with: ▪ Stream & Batch Big Data Pipeline Processing using Apache Spark and/or Apache Flink.
  ▪ Distributed Cloud Native Computing including Server less Functions
  ▪ Relational, Object Store, Document, Graph, etc. Database Design & Implementation
  ▪ Micro services Architecture, API Modeling, Design, & Programming

• 3+ years of hands-on development experience in Apache Spark using Scala and/or Java.

• Ability to write executable code for Services using Spark RDD, Spark SQL, Structured Streaming, Spark MLLib, etc. with deep technical understanding of Spark Processing Framework.

• In-depth knowledge of standard programming languages such as Scala and/or Java.

• 3+ years of hands-on development experience in one or more libraries & frameworks such as Apache Kafka, Akka, Apache Storm, Apache Nifi, Zookeeper, Hadoop ecosystem (i.e., HDFS, YARN, MapReduce, Oozie & Hive), etc.; extra points if you can demonstrate your knowledge with working examples.

• 3+ years of hands-on development experience in one or more Relational and NoSQL datastores such as PostgreSQL, Cassandra, HBase, MongoDB, DynamoDB, Elastic Search, Neo4J, etc.

• Practical knowledge of distributed systems involving partitioning, bucketing, CAP theorem, replication, horizontal scaling, etc.

• Passion for distilling large volumes of data, analyze performance, scalability, and capacity performance issues in Big Data Platforms.

• Ability to clearly distinguish system and Spark Job performances and perform spark performance tuning and resource optimization.

• Perform benchmarking/stress tests and document the best practices for different applications.

• Proactively work with tenants on improving the overall performance and ensure the system is resilient, and scalable.

• Good understanding of Virtualization & Containerization; must demonstrate experience in technologies such as Kubernetes, Istio, Docker, OpenShift, Anthos, Oracle VirtualBox, Vagrant, etc.

• Well-versed with demonstrable working experience with API Management, API Gateway, Service Mesh, Identity & Access Management, Data Protection & Encryption.

  Hands-on experience with demonstrable working experience with DevOps tools and platforms viz., Jira, GIT, Jenkins, Code Quality & Security Plugins, Maven, Artifactory, Terraform, Ansible/Chef/Puppet, Spinnaker, etc.

• Well-versed in AWS and/or Azure or and/or Google Cloud; must demonstrate experience in at least FIVE (5) services offered under AWS and/or Azure or and/or Google Cloud in any categories: Compute or Storage, Database, Networking & Content Delivery, Management & Governance, Analytics, Security, Identity, & Compliance (or) equivalent demonstrable Cloud Platform experience.

• Good understanding of Storage, Networks and Storage Networking basics which will enable you to work in a Cloud environment.

• Good understanding of Network, Data, and Application Security basics which will enable you to work in a Cloud as well as Business Applications / API services environment.

Expereince: 3-5 years

Domain: SQL server/SSIS/Cloud technology

Good Knowledge in Creating new tables in database.

Using Triggers, trunket,delete,view,etc