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Database Engineer in Chennai at PayPal

Date Posted: 3/9/2019

Job Snapshot

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Job Description

Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal’s 267 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies.

As part of PayPal Payment Data Services - Payment Data Platform team, our mission is to build an integrated software platform of advanced analytics capabilities, leveraging next generation data technologies for scalable data processing.  

You should be someone who is excited by the explosion of advancements occurring in the data space and the potential of software to create possibilities in that space.  

As a key member of the team, creative thinking, a solid work ethic, and a passion for developing great software solutions are a must. Besides possessing rock-solid software engineering skills and a passion for excellence, you need to be an innovative thinker, effective communicator and a team player with the ability to work with dynamic teams in an agile and fast paced environment.

  • Partner with product owner to translate product requirements into business solutions.
  • Must be able to work with a top notch development team in data modeling, designing, coding and implementing ETL and Bigdata solutions in data warehousing environment
  • Formulate hypothesis about the data based on small sample queries and extrapolate findings to payment theories, validating them against ever larger data sets.
  • Write optimized code on large cluster to process and analyze terabytes of data
  • Proactively tune processes to minimize execution times.
  • Design processes to minimize data quality risks and proactively identify potential data issues.
  • Prepare technical design documentation for review with team members.
  • Prepare logical and physical data models for the new processes.


  • End-to-End timely execution of assigned data projects, which includes interacting with business as needed, identify and apply innovative ideas, design database objects and ETL processes, develop code, testing and deployment.
  • Understands the business and can contribute to technology direction that contributes to measurable business improvements.
  • 100% adherence to the set delivery standards and agile process.
  • Can triage and resolve site issues without supervision.
  • Meet set targets for SLA Batches by actively engaging in identifying and addressing potential issues.
  • Identify opportunities to improve existing data platforms and innovate.
  • Identifies opportunities for engineering productivity improvements or directions, and evangelizes these successfully.

Job Requirements

  • 7+ years experience in building scalable, distributed, fault-tolerant data warehouse and Bigdata applications.
  • Must have excellent knowledge and at least 5+ years experience in DB design and development and performance tuning.
  • Must have very good knowledge and at least 2+ years experience in Bigdata like Hive, Pig and Spark ecosystems
  • Solid experience building data-driven applications/systems.
  • Must have excellent knowledge and as a developer of ETL applications with Informatica PowerCenter 9 and above
  • Strong skills working with relational databases (Teradata, Oracle, etc...), HDFS, Hive, Pig, Scala and Spark.
  • Experience, or familiarity, with NoSQL technologies (Mongo, Hadoop, cassandra, etc.) is a plus.
  • Exposure to Unix/Linux environment with the abiltity to write shell scripting is preferred.
  • Experience translating unstructured data into valuable analytical information.
  • Hands on experience working with source control systems (e.g., GIT).
  • Must have strong analysis and design skills, translating requirements into technical specifications and design documents.
  • Ability to create engineering requirements and technical designs from business requirements.
  • Agile and Waterfall SDLC experience. Able to work independently and as part of a team.
  • Background in data warehousing with Finance / Credit industry is a huge plus.
  • Experience with data modeling tool such as PowerDesigner will be a plus.
  • Experience with Reporting tool Microstrategy/Tableau will be a plus.

We're a purpose-driven company whose beliefs are the foundation for how we conduct business every day. We hold ourselves to our One Team Behaviors which demand that we hold the highest ethical standards, to empower an open and diverse workplace, and strive to treat everyone who is touched by our business with dignity and respect. Our employees challenge the status quo, ask questions, and find solutions. We want to break down barriers to financial empowerment. Join us as we change the way the world defines financial freedom.

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.



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