Data Engineer

IND - Karnataka - Bengaluru - Corp - Sarjapur Main Rd

PayPal

Verwende dein PayPal-Konto, um zu bezahlen, Geld zu senden und zu verwalten. Oder erstelle dir ein Händlerkonto für dein Unternehmen. Und noch vieles mehr.

View company page

Apply now Apply later

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to revolutionize commerce globally to make moving money, selling and shopping, personalized and secure. 

Job Description Summary:

What you need to know about the role

The candidate will be part of DAiS Data Foundational Service team, for data engineering. The candidate will be responsible for analysis, design, coding, and testing of the Data applications. The candidate may have to interact with global cross-functional teams. The individual should be self-motivated, possess creative problem-solving skills and have the ability to handle multiple deliverables at the same time. The candidate should have passion for data & analytics


Meet our team

DAiS (Data, Analytics & Intelligence Solutions) – Data Foundational Services

Job Description:

Your way to impact

This folio owns & manages acquisition, integration, transformation, & management of PYPL data by providing Data Platforms that enables access to high quality & certified data for business decisions

Your day to day

In this role, the individual will be responsible for.

  • Participating and collaborating with cross functional teams in the organization to understand the business requirements and to deliver solutions that can scale.

  • Planning the execution of the project in an effective and efficient manner.

  • Approaching the problem, considering all possibilities and options.

  • Creativity and out of the box thinking is required.

  • Proactively anticipating problems and appropriately communicating to the team and management in a timely manner.

  • Being flexible and being able to support all functions of product life cycle when required.

  • Ability to work in a fast-paced environment.

  • Ability to deliver from coarse grained requirements.

  • Be a Mentor for the junior members in the organization.

What do you need to bring-

  • 2+ years of experience in the IT industry, experience in Data Technology space is preferred.

  • Proficiency in any programming language like Java, Python, Scala, and Spark

  • Working experience in any MPP systems, should have strong SQL programming skills.

  • Knowledge of data warehousing concepts

  • Working knowledge on Big Data, Streaming Integrations

  • Excellent written and oral communication skills

  • Strong analytical skills including the ability to define problems, collect data, establish facts, and draw valid conclusions.

  • Expertise in database programming and performance tuning techniques

  • Familiar with data movement techniques and best practices to handle large volumes of data.

  • Experience with data warehousing architecture and data modelling best practices

  • Experience with File Systems, server architectures, and distributed systems

  • Strong communication skills and willingness to take initiative to contribute beyond basic responsibilities.

  • Working experience in an Agile methodology is highly preferred.

  • Knowledge of Hadoop, Spark, HBase and Hive is highly preferred.

  • Knowledge and Working experience on Cloud platforms is highly preferred.

Desired Skills:

  • Knowledge in MPP Databases/ Distributed systems

  • Knowledge on Big data Environments and Cloud integration is a plus.

  • Exposure to Data Quality and Profiling tools is a plus.

  • Exposure to BI tools desired, but not required (Tableau, Micro strategy, Business Objects).

**We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

Additional Job Description:

Subsidiary:

PayPal

Travel Percent:

0

Our Benefits:
At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com

Who We Are:
Click Here to learn more about our culture and community.

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. For more information, visit https://www.paypal.com ,  https://about.pypl.com and  https://investor.pypl.com.

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.

Any general requests for consideration of your skills, please Join Our Talent Community.

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  1  0  0
Category: Engineering Jobs

Tags: Agile Architecture Big Data Data quality Data Warehousing Distributed Systems Engineering Hadoop HBase Java MPP Python Scala Spark SQL Streaming Tableau Testing

Perks/benefits: Flex hours Health care Insurance

Region: Asia/Pacific
Country: India

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.