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Data Engineer

10.00 to 12.00 Years   Chennai   25 Jul, 2019
PayPal Holdings, Inc
Job LocationChennai
EducationNot Mentioned
SalaryNot Disclosed
IndustryInternet / E-Commerce
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

In this role, the individual will be part of the engineering team in Global Product Data Services Organization and will be responsible for.

  • Work as part of a team to design and develop code, scripts and data rails that integrate and transform data (structure / unstructured) from across multiple sources.
  • Design and build automated test frameworks to enable validation of the solution for consistency, accuracy and repeatability @scale and TTM.
  • Participate in the analysis, architecture and design of data Lake solutions.
  • Collaborate with management team to help define the engineering rigor and process and motivated to adopt it.
  • Ability to prototype ideas and demonstrate pros and cons and make recommendations using demos and slides.
  • Ability to use data to draw insights or drive decisions. Be able to explain complex technical concepts to management, product managers and other engineers.
  • Motivated and interested in delivering results, especially in the area of writing high-performance, reliable and maintainable code.
  • Ability to adapt to new development environments, changing business requirements and learning new systems highly desired.
  • Good team player, able to effectively work across multiple teams on solutions that have complex dependencies and requirements in a fast-paced environment
  • Excellent verbal and written communication skills.
Skills and Experience
  • A Master or bachelor s degree in computer science or equivalent with 10+ years of data engineering experience
  • Experience in EDW and ETL Development using Teradata BTEQ is Mandatory
  • Understanding and experience with building large scale enterprise applications using Teradata and Hadoop
  • Knowledge and experience working with various data sources like web services (rest, soap), unstructured data files, flat files, message queues, xml-based events, and databases.
  • Ability to deal with both structured and unstructured data sets & hence uses different methods to data architecture and applications in building data pipeline.
  • Experience in EDW and ETL Development using Teradata BTEQ is Mandatory.
  • Working knowledge on any ETL tool (i.e. Informatica/ Ab Initio) is a plus.
  • Expertise in database programming and performance tuning techniques.
  • Excellent debugging skills with a solid understanding of data and testing to capture data quality gaps/issues.
  • Strong analytical and problem-solving skills including the ability to define problems, collect data, establish facts, and draw valid conclusions.
  • Familiar with data movement techniques and best practices to handle large volumes of data.
  • Working experience in an Agile methodology is highly preferred.
  • Experience with Tableau or other visualization tools is a plus.
  • Knowledge of Scheduling Tools is a plus
Basic level knowledge on following business domains is a plus:
  • Payments and banking
  • E- commerce
,

Keyskills :
sqljavadatawarehousingpythonsourcesystemanalysisetltoolflatfileswebservicesdataqualitydataservicescustomerfocusdatasolutionsproblemsolvingmaticaequalemploymentopptunityedata

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