Sr. Data Engineer - New Delhi

New Delhi

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GoDaddy

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Location: New Delhi

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time, others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is an in office position. You’ll eventually be expected to work full-time in our Delhi office. Due to COVID-19, you’ll work remotely from day one until it’s safe for you to return to the office. Our leadership monitors local conditions and will communicate return to work plans as we approach reopening for the New Delhi office.

Data is the most valuable asset in GoDaddy, and the Data & Analytics organisation (DNA) is in the centre for building an enriched and valuable ecosystem of data platform, data services & strategic technologies like analytics, machine learning, AI & experimentation that drives innovation for our partners and clients, serving as integral platforms for generating revenue and competitive advantages, within GoDaddy and globally.

We are a team dedicated to developing sophisticated technology, systems & services to make data secure, high quality, rich, fast, and easy to use, enabling GoDaddy the ability to use its data assets to build competitive differentiators and enhance business value!!

What you'll get to do...

  • Collaborate with our Business Analytics & data science teams, gathering requirements and delivering complete BI solutions
  • Model data and metadata to support discovery, ad-hoc and pre-built reporting
  • Design and implement data pipelines using Hadoop, spark, and AWS services such as S3, RDS, Kinesis, Glue, Redshift, & EMR
  • Partner with security, privacy, and legal teams to deliver solutions that comply to GoDaddy security and privacy policies
  • Own the design, development, and maintenance of datasets our BA teams will use to drive key business decisions
  • Develop and promote standard methodologies in data engineering, including scalability, reusability, maintainability, and usability.
  • Tune and ensure compute performance by optimising queries, databases, files, tables, and processes
  • Ensure data & report SLAs are met
  • Analyse and solve problems at their root, stepping back to understand the broader context
  • Own continuous engineering operational excellence of the datasets that drive key business decisions
  • Learn and understand a broad range of GoDaddy’s data resources and know when, how, and which to use and which not to use
  • Keep up to date with advances in Big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS
  • Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets
  • Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment

Your experience should include...

  • Bachelor’s degree in CS or related technical field
  • 6+ years of experience in data architecture and business intelligence
  • 2+ years of experience in developing solutions in distributed technologies such as Hadoop, hive and spark
  • Experience in delivering end to end solutions using AWS services – S3, RDS, Kinesis, Glue, Redshift, & EMR
  • Experience in programming using Python, Java, or Scala
  • Expert in data modelling, metadata management, and data quality
  • SQL performance tuning
  • Strong interpersonal and multitasking skills with ability to balance competing priorities
  • Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams
  • An ability to work in a fast-paced ambiguous environment where continuous innovation is occurring.
  • Experience with a BI reporting tool

 

About us... GoDaddy is empowering everyday entrepreneurs around the world by providing all of the help and tools to succeed online. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights and the people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us (https://aboutus.godaddy.net/about-us/overview/default.aspx.) 

 

GoDaddy is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, national origin, citizenship, marital status or civil partnership/union status, disability, pregnancy, genetic information or any other basis prohibited by applicable country or local laws.

If you need help completing an application for a position with GoDaddy, please reach out to our Recruiting Team at myrecruiter@godaddy.com

GoDaddy doesn’t accept unsolicited resumes from recruiters or employment agencies.

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

Tags: AWS Big Data Business Analytics Business Intelligence Data pipelines Engineering Hadoop Kinesis Machine Learning .NET Pipelines Python Redshift Scala Security Spark SQL

Perks/benefits: Career development

Region: Asia/Pacific
Country: India
Job stats:  1  0  0
Category: Engineering Jobs

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