Manager, Data Engineer - Apache Nifi, Python, PySpark, Hadoop

Mastercard

6 - 11 years

20 - 25 Lacs

pune

Posted:-1 days ago| Platform:

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Skills Required

relationship building sql scrum agile sdlc cloudera continuous integration scala ci/cd pyspark jdbc microservices spring java git rss spark xml j2ee jenkins json hadoop api netezza python oracle microsoft azure nosql data bricks apache nifi aws

Work Mode

Work from Office

Job Type

Full Time

Job Description

Position -

Overview

The Mastercard Account Level Management (ALM) platform empowers real-time card level decisioning
As consumers progress along their life stages as card holders, with increasing disposable income and more refined preferences, ALM provides services to issuers so they can effectively offer more relevant benefits and rewards at each stage, to drive loyalty and spend

Role

Managing multiple scrum teams of Software developers and testers to develop quality software solutions in a timely and cost-effective manner
Successfully lead definition, development and delivery of major cross-department initiatives with broad scope and long-term business implications
Provide technical leadership and direction to software development teams in the development of services and capabilities, Understand, implement and enforce Software development standards and engineering principles in the Big Data space
Work closely with product and architecture teams on product definition, technical design, and overall execution for the team
Ensure the project or effort is adequately staffed; trained and managed
Ensure personnel have appropriate skills and behaviors; and effectively communicate performance results; as necessary, managing each effort within approved manpower and budget guidelines Technically manage and drive deliveries from scrum teams that will be responsible implementing, documenting, testing, maintaining and supporting applications in adherence with industry best practices specially in Big Data space
Developing high quality, secure, scalable solutions based on technical requirements specifications and design artifacts within expected time and budget
Work across on-premises and cloud environments (AWS, Azure, Databricks)
Design & development of high quality data driven applications and scalable data pipelines using spark, Scala/Python/Java on Hadoop or object storage like MinIO
Experience of working with Databases like Oracle, Netezza and have strong SQL knowledge
Expertise to guide team in using SDLC tools such Git-based version control systems, CI/CD pipelines using Jenkins, Checkmarx, test automation tools etc Proficient in working within an Agile/Scrum framework, including creating user stories with well-defined acceptance criteria, participating in sprint planning and reviews
Good to have experience in developing enterprise solutions (standalone applications, services & SDK) using J2EE, JDBC (SQL & NoSQL) related technologies like Spring & Spring framework, micro services on Cloud
Integrating content feeds via API, JSON, XML, and RSS from both internal and external sources
supporting internal and external users of the applications/systems, performing production incident management and participating in on-call escalation pager support rotation
Documenting application components for support and training materials for MasterCard Quality Assurance and Quality Control processes

About You:

Hands-on technical leader who brings considerable experience doing application development and managing teams by using a broad range of technologies and dives deep into everything team does
Demonstrate leadership, ethics and values to generate high trust with team, peers, and management
Must be high-energy, detail-oriented and proactive with the ability to function under pressure in an independent environment
Must provide the necessary skills to have a high degree of initiative and self-motivation with a willingness and ability to learn and take on challenging opportunities
Strong communication skills both verbal and written with strong relationship building, collaborative skills and organizational skills
Must be obsessed with results, and effectively communicate objectives and how success will be measured to the team and other stakeholders
Have strong decision-making skills, lead retrospection and continually improve as a result
Understands how to guide an engineers career including performance evaluation, coaching, and motivation.

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