Location: Bangalore/Pune/Hyderabad/Nagpur
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.
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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
The Sr. Analytics Engineer would provide technical expertise in needs identification, data modeling, data movement, and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.
Understands and leverages best-fit technologies (e.g., traditional star schema structures, cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges.
Provides data understanding and coordinates data-related activities with other data management groups such as master data management, data governance, and metadata management.
Actively participates with other consultants in problem-solving and approach development.
Responsibilities :
Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs.
Perform data analysis to validate data models and to confirm the ability to meet business needs.
Assist with and support setting the data architecture direction, ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level.
Coordinate and consult with the Data Architect, project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels.
Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture.
Coordinate with Data Architects, Program Managers and participate in recurring meetings.
Help and mentor team members to understand the data model and subject areas.
Ensure that the team adheres to best practices and guidelines.
Requirements :
- Strong working knowledge of at least 3 years of Spark, Java/Scala/Pyspark, Kafka, Git, Unix / Linux, and ETL pipeline designing.
- Experience with Spark optimization/tuning/resource allocations
- Excellent understanding of IN memory distributed computing frameworks like Spark and its parameter tuning, writing optimized workflow sequences.
- Experience of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redshift, Bigquery, Cassandra, etc).
- Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc.
- Have a deep understanding of the various stacks and components of the Big Data ecosystem.
- Hands-on experience with Python is a huge plus
· 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
We have urgent requirement of Data Engineer/Sr Data Engineer for reputed MNC company.
Exp: 4-9yrs
Location: Pune/Bangalore/Hyderabad
Skills: We need candidate either Python AWS or Pyspark AWS or Spark Scala
2. Design software and make technology choices across the stack (from data storage to application to front-end)
3. Understand a range of tier-1 systems/services that power our product to make scalable changes to critical path code
4. Own the design and delivery of an integral piece of a tier-1 system or application
5. Work closely with product managers, UX designers, and end users and integrate software components into a fully functional system
6. Work on the management and execution of project plans and delivery commitments
7. Take ownership of product/feature end-to-end for all phases from the development to the production
8. Ensure the developed features are scalable and highly available with no quality concerns
9. Work closely with senior engineers for refining and implementation
10. Manage and execute project plans and delivery commitments
11. Create and execute appropriate quality plans, project plans, test strategies, and processes for development activities in concert with business and project management efforts
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