LTI Hiring for Product Lead - Python /Java /Spark Jobs in Pune at Larsen & Toubro Infotech Limited

Last Updated: Aug 15, 2021 05:10 IST


Company Name
Larsen & Toubro Infotech Limited
Job title
LTI Hiring for Product Lead - Python /Java /Spark
5-8 Years
Not Mentioned

Job Profile

  • Skills: Product Lead : Python + Java + Spark
  • Location : Pune/Mumbai/Bangalore/Chennai/Hyderabad
  • Experience : 05 to 08 Years

Responsibilities :
Should be able to architect technical design
Hands on programming experience with Spark framework and related libraries.
Should be able to understand functional / user requirements
Experience in handling and managing product deliveries and L3 incidents.
Hands on experience in designing and developing applications using Java / Python platforms
Good understanding of Advance Python concepts and magic methods
Hands on experience in designing and developing applications using Java EE platforms
Hands on experience in designing and developing application using angular
Should be aware of common design patterns
Should have a deep knowledge about core java concepts
Should have knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate)
Should have hands on experience in developing application with Spring Boot
Should be able to write unit test cases
Should have deep knowledge about Microservices ecosystem
Should be able to debug issues in Microservice ecosystem
Experience on working with Linux like Environment
Solid understanding of OOPS and Demonstrated experience in SQL
Should have knowledge about Docker, Kubernetes, Git
Experience with building APIs and services using REST, SOAP, etc
Knowledge of / Hands-on experience in working with Cloud IaaS such as AWS, Azure and GC
Knowledge of / Experience with Scrum/Agile development methodologies
Should have knowledge about coding standards and best practices
Solid understanding of server side MVC frameworks
Should have good communication skills.
Exposure to designing and deploying large scale batch and streaming type of use cases using Apache Spark.
Exposure to a variety of large-scale persistent systems including large databases, NoSQL databases, Cloud storage etc.
Hands on experience in design and deploying docker and kubernetes
Good programming skills on Java and Python.
Experience in ML model development and deployment is an added advantage.
Good understanding of Big Data technologies like YARN, LIVY, HDFS, NameNode etc
Very good understanding of data management concepts like Change Data Capture, Data Federation, Metadata management etc.
Evaluate and promote new products, processes, or systems

Preferred Background and Abilities Technologies:

Python, Java Spark Must
Relational Databases: SQL queries, performance optimization Must
Microservices Must
Docker, Kubernetes
Cloud Technologies AWS, Azure, Apache Spark

Responsibilities Thought Leadership:
Serve as a thought leader & decision maker on technical, design & related issues
Should love to solve challenges, pickup new languages, framework or technologies on the go.
Excellent verbal and written communication skills. Ownership & Accountability:
Take ownership of your product/features - keep a keen eye out for bugs that might arise, ardently resolve them.
Capable of delivering on multiple competing priorities with little supervision.
Continuously keep assessing usability & relevance of product features. Come up with suggestions for improvements.

Engineering Mindset:

Participate in product aligned research by tweaking/rewriting libraries
Should love to build and ship products that enterprises will use every day.
Work with problems of scale, employ technologies that are distributed in nature.
Ability to design for performance, scalability, and availability
Experience in building web applications and full product life-cycles.

Additional Qualifications:

Experience with Scrum/Agile development methodologies Someone who is passionate about open-source technologies and can show examples of their skills

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Key skills
Product Manager, Python, Java, Spark
IT/ Computers - Software
Product Lead : Python + Java + Spark
Last Date

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