Senior Software Engineer Data Analytics (big Data Developer) Job in Pratiti Technologies Pvt Ltd.

• Build, design and implement our highly scalable, fault-tolerant, highly available big data platform to process terabytes of data and provide customers with in-depth analytics.
• Developing Big Data pipelines using modern technology stack such as Spark, Hadoop, Kafka, HBase, Hive, Presto etc.
• Developing analytics application ground up using modern technology stack such as Java, Spring, Tomcat, Jenkins, REST APIs, JDBC, Amazon Web Services, Hibernate.
• Building data pipeline to automate high-volume data collection and processing to provide real-time data analytics.
• Customize org reporting and analytics platform based on customer s requirements from customers and deliver scalable, production-ready solutions.
• Lead multiple projects to develop features for data processing and reporting platform, collaborate with product managers, cross-functional teams, other stakeholders and ensure successful delivery of projects.
• Use various mechanisms established to fetch data from different external data sources and reconcile them with org processed data.
• Collaborate with functional teams to build products to deliver end-to-end products and features and fix bugs for better performance.
• Develop robust & fault-tolerant systems and monitor implications of changes on data processing pipeline and performance.
• Leveraging a broad range of org data architecture strategies and proposing both data flows and storage solutions.
• Managing hadoop map reduce and spark jobs & solving any ongoing issues with operating the cluster.
• Working closely with cross functional teams on improving availability and scalability of large data platform and functionality.
• Expertise in developing Implementation of professional software engineering best practices for the full software development life cycle, including coding standards, performing code reviews, committing to Github, preparing documents in Confluence, continuous delivery using Jenkins, automated testing, and operations.
• Participate in Agile/Scrum processes such as sprint planning, sprint retrospective, backlog grooming, user story management, work item prioritization, etc.
• Frequently discuss with product managers about the software features to include in Data Analytics platform. Understand the technical aspects customer requirement from product managers.
• Keep in regular touch with quality engineering team which ensure the quality of the platforms/products and performance SLAs of java based micro services and spark based data pipeline.
• Support customer issues over email or JIRA (bug tracking system), provide updates, patches to customers to fix the issues.
• Discuss with technical writing team about the technical documents that are published on documentation portal.
• Perform code and design reviews for code implemented by peers or as per the code review process.

Experience : 2 7 Years

Skills Needed

2+ years coding experience in Java.

Solid computer science fundamentals including data structure and algorithm design, and creation of architectural specifications.

Expertise in developing Implementation of professional software engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management, documentation, build processes, automated testing, and operations.

A passion for developing and maintaining a high-quality code and test base, and enabling contributions from engineers across the team.

Expertise in big data technologies like Hadoop, Spark, Kafka, HBase etc would be an added advantage.

Experience in developing and delivering large scale big data pipelines, real-time systems & data warehouses would be preferred.

Demonstrated ability to achieve stretch goals in a very innovative and fast paced environment.

Demonstrated ability to learn new technologies quickly and independently.

Excellent verbal and written communication skills, especially in technical communications.

Strong inter-personal skills and a desire to work collaboratively.