Senior Manager - Data Engineering - New Delhi

Key Skills

Java Programming, Python Programming, SQL, AWS, Apache Hadoop, Scala Programming, Apache Hive, Amazon Athena, Amazon RedShift, Amazon EMR, SPARK Programming, AWS Kinesis

Job Description

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...

• Recruit the best talent and build a strong team of data engineers
• Influence peer teams and leadership to ensure our data culture is one where engineers proudly do their best work every single day
• Set the standard for technical excellence as we move our data ecosystem into the cloud
• Collaborate and partner with peer teams located in US and EMEA regions
• Conduct design and code review to ensure compliance with standards and expected quality
• Play a key role in integrating new data sources from Mergers & Acquisitions into our data & analytical ecosystem
• Interface across our Business Analysis and Data Science teams understanding their common data problems and delivering scalable solutions
• Partner with security, privacy, and legal teams to deliver solutions that comply to GoDaddy security and privacy policies
• Partner with product engineering and peer data engineering teams to instrument and understand

Your experience should include...

• Bachelor’s degree in CS or related technical field is required
• 10+ years in data architecture and business intelligence
• 5+ years managing engineering teams
• 3+ years developing Big data solutions using technologies such as Hadoop, hive, spark, etc.
• In-depth knowledge of optimising distributed computing systems
• Expert in data modelling, metadata management, and data quality
• Strong interpersonal and multitasking skills with ability to balance contending 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

You might also have...

• Delivered end-to-end analytic solutions using AWS services (S3, Athena, Kinesis, Redshift, EMR, Glue)
• Proficient in programming in Python, Scala, and Java.