Sr. Data Engineer (Spark, BigData Hadoop, 4+)
- Zapnosys Ai
- 4 to 8 Yrs
- All India
- 1 day ago
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Job Description
- This position is for a Senior Data Engineer with development experience who will focus on creating new capabilities in the Risk space while maturing our code base and development processes. As a passionate and talented developer, you will work in a dynamic environment as a member of Agile Scrum teams. Your strong technical leadership, problem-solving abilities, coding, testing, and debugging skills are essential. You must be dedicated to filling the product backlog and delivering production-ready code, willing to go beyond the routine, and prepared to do a little bit of everything. You will be an integral part of the development team, working on new requirements and designs to build new products or services from the ground up. At times, you will make changes to an existing system to add new features or refactor existing functionality for performance and maintainability, always striving to make processes more efficient and provide better solutions to end customers. Your responsibilities will include hands-on activities such as design, documentation, development, and testing of new functionality, requiring flexibility to switch tasks based on team needs. This position will be based in Bangalore, India, reporting to the Director of Software Engineering. If this opportunity excites you, we would like to discuss our work culture and environment further to determine if it aligns well with your interests. Essential Functions - Collaborate with project team members to develop and implement new data-driven business solutions - Engage in requirements definition and clarification in collaboration with Business to ensure completeness and common understanding of the business needs - Understand business requirements and create design documentation - Facilitate design reviews to provide input on functional requirements, product designs, schedules, or potential problems - Work with other engineering teams to establish a common approach to continuous integration involving build automation, test automation, and deployment automation - Collaborate with senior technical staff and PM to identify, document, plan contingency, track, and manage risks and issues until resolution This is a hybrid position, allowing employees to alternate between remote and office work. Hybrid employees are expected to work from the office 2-3 set days a week, with a general guideline of being in the office 50% or more of the time based on business needs. Qualifications Basic Qualifications - 4 or more years of work experience with a Bachelors Degree or Advanced Degree - Experience in creating data-driven business solutions and solving data problems using various technologies like Hadoop, Hive, Spark, MongoDB, NoSQL, and traditional data technologies like RDBMS, MySQL - Ability to program in scripting languages such as Perl or Python and programming languages like Java or Scala - Experience with data visualization and business intelligence tools like Tableau - Experience or knowledge of Continuous Integration & Development and automation tools such as Jenkins, Artifactory, Git - Experience or knowledge of Agile and Test-Driven Development methodology - Strong analytical skills with excellent problem-solving ability Additional Information,
Employement Category:
Employement Type: Full timeIndustry: IT Services & ConsultingRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: Sr. Data Engineer (Spark, BigData Hadoop, 4+)Contact Details:
Company: VisaLocation(s): All India
Keyskills: Java Scala Hadoop Hive Spark MongoDB NoSQL RDBMS MySQL Perl Python Tableau Continuous Integration Development Jenkins Artifactory Git Agile
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Zapnosys Ai
Zapnosys AI is on a mission to reinvent how India learns one student at a time. Our flagship product, 5ive.ai, is not just another EdTech platform — it’s a deeptech, AI-first learning engine built to deliver truly hyper-personalized education at scale. Designed for every learner — from met...
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