Senior Java Software Engineer

• 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.

Primary Duties

• Build a broad knowledge across various systems and processes via knowledge transfer and capture any missing information on the wiki

• Gather software requirements by talking to various stakeholders and document them

• Implement software solutions after discussing the requirements and taking direction from the Technical lead and talking to other colleagues within and outside the team

• Provide necessary effort and time estimates for tasks to aid scheduling and prioritization

• Provide necessary 3rd line support to the Operations teams including software fixes as needed

• Work on any BAU development activity including on-boarding new data sets and delivering new markets into the system

• Work with external vendors from time to time to gather necessary requirements for new data or changes to existing data specifications

• Maintain pro-active communication with relevant stakeholders and keep them updated on progress

General

• Any other duties commensurate with the post holder’s position and seniority; and
• All employees should understand that it is their personal responsibility to comply with all organisational, statutory and regulatory policies and procedures.

Experience, Knowledge & Skills

Essential

• 4+ years’ experience of programming in Java.
• 4+ years’ experience working with SQL including complex queries, stored procedures, views, database design and solid understanding of database concepts (preferably SQL Server)
• Experience of both Linux and Windows environments, scripting and tools
• Willing to carry out operational data tasks alongside developing new solutions
• Well organised with the ability to prioritise and manage multiple streams of work
• Excellent communication skills

Beneficial

• Experience working with Cloud environments (preferably AWS)
• Experience in handling financial data sets and familiarity with financial instruments (equities, futures, FX)
• Experience working with data pipelines and building ETL solutions
• Experience working with tools like Flink, Kafka and Tableau

Educational & Professional Qualifications

• Educated to degree (or equivalent) level or higher.
• A degree with mathematical and computing content (e.g. Computer Science, Maths, Physics)

Job description 

• Lead design, development, implementation and maintenance of applications & back-end  services demonstrating service-oriented architecture. 
• Design, build, test, and maintain scalable APIs, services, and systems within the  platform. 
• Choose the right Data Structures, tools, and tech stacks and do high-level design with guidance. 
• Build, develop, mentor, review code and coach junior team members. 
• Extensive programming experience with cross-platform development: Java/SpringBoot,  Javascript/Node.js, Express.js or Python 
• Extensive knowledge of ElasticSearch, MongoDB or Cassandra, Redis, SQS and data  streaming (Spark, Flink, Kafka streams, storm, etc.). 
• Well versed in Kafka Understanding cloud native technologies such as Docker and  Kubernetes, capable to cover full development lifecycle including CI/CD 
• Experience in use of source code management system like GIT, bitbucket and build tools  like ant, maven, Gradle or make. 
• Take great pride in Code quality and developer productivity. 
• Put in Microservcies architecture in place that paves road for scalability, efficiency,  observability, and availability. 
• Build (and open source) data processing, storage and fetch systems at the petabyte scale  with the lowest cost/GB while still responding in milliseconds at the 99th percentile. 
• Write algorithms and services to influence personalisation and recommendation from a  real-time recommendation engine for both home feed to surface most viral videos +  video e-commerce 
• Build machine learning pipelines using Kinesis,Spark/Flink/TensorFlow etc 
• Agile methodologies, Sprint management, Roadmap, Mentoring, Documenting, Software  architecture 
• Proven experience in handling large infrastructure and distributed systems Liaison with Product Management, DevOps, QA, Client and other teams Your Experience Across The Years in the Roles You’ve Played 

• Have total or more 7 - 9 years of experience with 2-3 years in a startup. Have B.Tech or M.Tech or equivalent academic qualification from premier institute. Experience in Product companies working on Internet-scale applications is preferred 
• Thoroughly aware of cloud computing infrastructure on AWS leveraging cloud native  service and infrastructure services to design solutions.
• Follow Cloud Native Computing Foundation leveraging mature open source projects  including understanding of containerisation/Kubernetes. 

We Value Engineers Who Are :

• Customer-focused: We believe that doing what’s right for the creator is ultimately what  will drive our business forward. 
• Obsessed with Quality: Your Production code just works & scales linearly 
• Team players. You believe that more can be achieved together. You listen to feedback  and also provide supportive feedback to help others grow/improve. 
• Pragmatic: We do things quickly to learn what our creators desire. You know when it’s  appropriate to take shortcuts that don’t sacrifice quality or maintainability 

Chingari Benefits 

The glory. Almost too much responsibility. 

A fun-life balance 

A ticket on our rocket ship to the moon. �� 

• Creating, designing and developing data models
• Prepare plans for all ETL (Extract/Transformation/Load) procedures and architectures
• Validating results and creating business reports
• Monitoring and tuning data loads and queries
• Develop and prepare a schedule for a new data warehouse
• Analyze large databases and recommend appropriate optimization for the same
• Administer all requirements and design various functional specifications for data
• Provide support to the Software Development Life cycle
• Prepare various code designs and ensure efficient implementation of the same
• Evaluate all codes and ensure the quality of all project deliverables
• Monitor data warehouse work and provide subject matter expertise
• Hands-on BI practices, data structures, data modeling, SQL skills

Hard Skills for a Data Warehouse Developer:

• Hands-on experience with ETL tools e.g., DataStage, Informatica, Pentaho, Talend
• Sound knowledge of https://www.freelancermap.com/it-projects/sql-1084" target="_blank">SQL
• Experience with SQL databases such as Oracle, DB2, and SQL
• Experience using Data Warehouse platforms e.g., SAP, Birst
• Experience designing, developing, and implementing Data Warehouse solutions
• Project management and system development methodology
• Ability to proactively research solutions and best practices

Soft Skills for Data Warehouse Developers:

• Excellent Analytical skills
• Excellent verbal and written communications
• Strong organization skills
• Ability to work on a team, as well as independently

• Expert knowledge of computer science, with strong competencies in data structures, algorithms,

  and software design.

• Strong understanding of end-to-end architectures and development frameworks; knowledge

  across tiers in a multi-tier cloud environment including load balancers, web servers, application

  containers, data stores, and distributed caches.

• Minimum 6 years of experience with deep technical knowledge and hands on skills in Java.

• Has worked extensively on caching technologies such as Redis, memcache.

• Should be strong with Data Strcutures, Algorithms & OOPs concepts.

• Worked on NoSQL databases such as MongoDb.

• Designed and developed highly scalable multi-threaded large scale distributed systems.

• Well versed with services and micro-services architecture.

• • Usage of containers, virtual machine systems, cloud computing.

   

• Strong Java software development experience – with a focus on Java 8 & 9
• Experience with NoSql databases – ideally with MongoDB
• Experience implementing REST apis – ideally with JAX-RS
• Experience with Reactive Programming – ideally with RxJava
• Experience implementing unit tests

• Experience developing applications in fintech or established financial institutions
• Experience with microservice architectures
• Experience developing systems that can scale to large amounts of data
• Experience working in Agile Scrum
• Experience working on a globally distributed team