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Data Engineer II - Hyderabad / Secunderabad @ Uber

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 Data Engineer II - Hyderabad / Secunderabad

Job Description

About the Role
As a Data Engineer at Uber you will play a leading role in scaling the Corp data warehouse to power analytics for teams across Uber. You are a self-starter with industrial experience in SQL, Data Modelling, and ETL pipeline design. You have experience implementing ETL pipelines in Hive or another MPP database architecture. You are comfortable with Spark and Presto having used one or both frequently to process very large volumes of data. You are comfortable coding in Python, Java, or Scala. You have demonstrated competency in reliably operating hundreds of ETL pipelines with adherence to strict SLAs and quickly root-causing and correcting complex data problems. Detail-orientation, thoroughly tested code, and great documentation are the hallmarks of your work but you excel equally well at explaining concepts in "big picture" terms to a less technical audience. If this describes you and you tick off the boxes below, we would love to hear from you.

What You'll Do
Design, develop, deliver and maintain data infrastructures
SQL Specialist - Strong knowledge and Seasoned experience with SQL Queries (strong in outer joins, aggregations, unions and knowledge of window functions)
Data Modelling Experience
UNIX/LINUX knowledge and shell scripting
Scripting Languages: At least one of Python, Go, Java, Scala
Proficient with software engineering best practices (monitoring, testing, documentation)
Good communicator, shows Initiative, works well with stakeholders
Experience working closely with Data Analysts and provide the data they need and guide them on the issues
Solid ETL experience and Hadoop/Hive/Impala/Presto experience
Able to troubleshoot the data issues in dashboarding tool (any one of Tableau, MicroStrategy, Power BI, etc.) and suggest solutions
A team player, can achieve more on a team that the whole is greater than the sum of its parts. You rely on others' candid feedback for continuous improvement.

What the Candidate Will Need / Bonus Points
4-6 years of Data Engineering Experience - Design, develop, deliver and maintain data infrastructures
SQL Specialist - Strong knowledge and Seasoned experience with SQL Queries (strong in outer joins, aggregations, unions and knowledge of window functions)
Data Modeling Experience
UNIX/LINUX knowledge and shell scripting
Scripting Languages: At least one of Python, Go, Java, Scala
Proficient with software engineering best practices (monitoring, testing, documentation)
Good communicator, shows Initiative, works well with stakeholders
Experience working closely with Data Analysts and provide the data they need and guide them on the issues
Solid ETL experience and Hadoop/Hive/Impala/Presto experience
Able to troubleshoot the data issues in dashboarding tool (any one of Tableau, MicroStrategy, Power BI, etc.) and suggest solutions
A team player, can achieve more on a team that the whole is greater than the sum of its parts. You rely on others' candid feedback for continuous improvement.

Bonus Points If
Computer Science degree, or related field
Experience at a high paced, fast growing tech startup
Passionate about Data Science, wants to learn new technologies
Experience with support data
Experience in real time data ingestion (Kafka, Flume)
Demonstrated familiarity with industry-leading Big Data ETL best practices.

Job Classification

Industry: Travel , Hotels , Restaurants , Airlines , Railways
Functional Area: IT Software - Application Programming, Maintenance,
Role Category: Programming & Design
Role: Programming & Design
Employement Type: Full time

Education

Under Graduation: B.Tech/B.E. in Computers
Post Graduation: Post Graduation Not Required
Doctorate: Doctorate Not Required

Contact Details:

Company: Uber
Location(s): Hyderabad

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Keyskills:   Unix Microstrategy Computer science Linux Data modeling Coding Shell scripting Analytics Monitoring Python

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Uber

Ubertal was created in 2011 in Silicon Valley with the initial objective of helping high growth software companies solve their toughest business challenges. Through this process weve identified common challenges faced by companies and have developed our own software solutions (IP) and co- created s...