Data Engineer

Requirements

• 3+ years work experience with production-grade python. Contribution to open source repos is preferred
• Experience writing concurrent and distributed programs, AWS lambda, Kubernetes, Docker, Spark is preferred.
• Experience with one relational & 1 non-relational DB is preferred
• Prior work in the ML domain will be a big boost

What You’ll Do

• Help realize the product vision: Production-ready machine learning models with monitoring within moments, not months.
• Help companies deploy their machine learning models at scale across a wide range of use-cases and sectors.
• Build integrations with other platforms to make it easy for our customers to use our product without changing their workflow.
• Write maintainable, scalable performant python code
• Building gRPC, rest API servers
• Working with Thrift, Protobufs, etc.

About the Role-

Thinking big and executing beyond what is expected. The challenges cut across algorithmic problem solving, systems engineering, machine learning and infrastructure at a massive scale.

Reason to Join-

An opportunity for innovators, problem solvers & learners.  Working will be Innovative, empowering, rewarding & fun. Amazing Office, competitive pay along with excellent benefits package.

Requiremets and Responsibilities- (please read carefully before applying)

• The overall experience of 3-6 years in Java/Python Framework and Machine Learning.
• Develop Web Services, REST, XSD, XML technologies, Java, Python, AWS, API.
• Experience on Elastic Search or SOLR or Lucene -Search Engine, Text Mining, Indexing.
• Experience in highly scalable tools like Kafka, Spark, Aerospike, etc.
• Hands on experience in Design, Architecture, Implementation, Performance & Scalability, and Distributed Systems.
• Design, implement, and deploy highly scalable and reliable systems.
• Troubleshoot Solr indexing process and querying engine.
• Bachelors or Masters in Computer Science from Tier 1 Institutions

·      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

4-5 years of overall experience in software development.
- Experience on Hadoop (Apache/Cloudera/Hortonworks) and/or other Map Reduce Platforms
- Experience on Hive, Pig, Sqoop, Flume and/or Mahout
- Experience on NO-SQL – HBase, Cassandra, MongoDB
- Hands on experience with Spark development,  Knowledge of Storm, Kafka, Scala
- Good knowledge of Java
- Good background of Configuration Management/Ticketing systems like Maven/Ant/JIRA etc.
- Knowledge around any Data Integration and/or EDW tools is plus
- Good to have knowledge of  using Python/Perl/Shell

Please note - Hbase hive and spark are must.

• 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.

Your Opportunity

• Own and drive business features into tech requirements
• Design & develop large scale real time server side systems
• Quickly create quality prototypes
• Staying updated on emerging technologies
• Ensuring that all deliverables adhere to our world class standards
• Promote coding best practices
• Mentor and develop junior developers in the team

Required Experience:

• 4+ years of relevant experience as described below
• Excellent grasp of Core Java, Multi Threading and OO design patterns
• Experience with Scala, functional, reactive programming and Akka/Play is a plus
• Excellent understanding of data structures and algorithms
• Solid grasp of large scale distributed real time systems
• Prior experience on building a scalable and resilient micro service
• Solid understanding of relational databases, NoSQL databases and Caching systems
• Good understanding of Big Data technologies such as Spark, Hadoop is a plus
• Experience on one of AWS, Azure or GCP

Who you are :

• You have excellent and effective communication and collaborative skills
• You love problem solving
• You stay up to date with the latest technologies and then apply them in real life
• You love paying attention to detail
• You thrive in meeting tight deadlines and prioritising workloads
• Ability to collaborate across multiple functions

Education:

Bachelor’s degree in Engineering or equivalent experience within the field

This is FTE Position

Client: Anblicks

Need Immediate joiners (1 week is fine)

Position : Backend Developer(NodeJs ,MongoDB & AWS)

Experience : 3-6 Years

Location : Ahmedabad / Hyderabad

• API Development 3 + years
• Node.JS (3 Years minimum)
• JavaScript
• AWS Lambda
• AWS API Gateway
• AWS Cognito
• MongoDB
• Front-end  React (Plus as primary need is for API Development)
• Data Modelling Knowledge
• Need to provide sample code

Strong Hands-on experience in React using API development and Mongo DB is mandatory.