Sr. Manager - Bigdata SRE
Bengaluru, India
Visa
Das digitale und mobile Zahlungsnetzwerk von Visa steht an der Spitze der neuen Zahlungstechnologien für die neue Zahlung, elektronische und kontaktlose Zahlung, die die Welt des Geldes bildenCompany Description
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
Job Description
Site Reliability Engineering (SRE) responsibilities as part of Product Reliability Engineering (PRE) Organization of VISA : You will be responsible for availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning. In this role, split your time between operations and developing systems and software that help increase site reliability and performance. Site reliability engineering (SRE) fuses the software engineering and operations disciplines:
- Inspire and lead your team to deliver strategic and novel approaches that help optimize Visa’s approach to growth
- Standardization and Automation are 2 Important components of Job Responsibility
- Effective Root cause analysis of major production incidents and developing learning documentation
- Run Problem bridges/SWAT Calls by collaborating with others from different functional and technical areas and escalating as needed to resolve problems in a timely manner.
- Build an inclusive team culture that is innovative and collaborative.
- Lead strong partnerships key stakeholders including product management, engineering, design, and operations.
- Mentor, coach, manage and motivate a high performing team of senior engineers, managers and set clear priorities to achieve goals and KPIs.
- Show appreciation, recognition and empathy for your team.
- Stay informed on technology trends and product roadmaps to make informed solution architecture recommendations.
- True adherence to Visa Leadership Principles (VLPs) with excellent communication, storytelling and presentation skills.
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
Qualifications
Basic Qualifications:
- 9 or more years of relevant work experience with a Bachelor Degree or at least 7 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 5 years of work experience with a PhD
Preferred Qualifications:
- 9 or more years of relevant work experience with a Bachelor Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD
- Design and Coding skills with Big Data technologies like Hadoop, Spark, Kafka, Scala, Java, Hive, Data APIs, Streaming.
- Minimum of 5+ years of experience in building large-scale applications using open source technologies.
- Relevant experience with DevOps, software design, Data engineering, architecture and ETL data pipeline development life cycle.
- Hands-on expertise with Spark/Scala or Spark/Java or Spark/Python.
- Experience with highly distributed, scalable, concurrent and low latency systems.
- Deep knowledge of Unix/Linux, Shell Scripting and writing SQL queries.
- Deep knowledge of all Data Warehouse related components (Sourcing, ETL, Data Modeling, Infrastructure, Reporting, Data Visualization) and multiple tools to support those components.
- Must have strong interpersonal and communication skills (written and verbal). Should be comfortable facilitating multi-team activities.
- Payment processing background is a big plus
Additional Information
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Architecture Big Data Data visualization Data warehouse DevOps Engineering ETL Hadoop Java Kafka KPIs Linux Open Source PhD Python Scala Shell scripting Spark SQL Streaming
Perks/benefits: Career development Startup environment Team events
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