Senior Data Analytics Engineer

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 a hybrid position. You ll divide your time between working remotely from your home and an office, so you should live within commuting distance of Gurgaon. Hybrid teams may work in-office as much as a few times a week or as little as once a month or quarter, as decided by leadership. The hiring manager can share more about what hybrid work might look like for this team.

Join our team

Become a part of our team today and impact our customers positively. At GoDaddy, our Data Engineers possess a deep understanding of technology and its connection to the individuals who rely on it daily. Currently, fresh ideas, valuable insights, and diverse perspectives are fundamental to crafting a more robust, personalized, and exciting experience for all our customers.

If you are driven by crafting data driven products and making a real difference to an audience of millions, have excellent communication and interpersonal skills and an ability to optimally communicate with both business and technical teams with the ability to work in a fast-paced environment, where continuous innovation is occurring, and ambiguity is the norm this may be an exciting role for you.

What youll get to do...

• Work in an agile(scrum) development environment, constantly shipping and iterating
• Develop high quality batch and streaming big data pipelines
• Collaborate with our data consumers, bringing together requirements, and delivering complete data solutions
• Is responsible for the development and maintenance of datasets that drive key business decisions
• Embrace and define the standards and best practices in data engineering, including data integrity, performance optimization, validation, reliability, and documentation
• Keep up to date with advances in big data technologies and run pilots to develop the data architecture to scale, with the increased data volume using cloud services
• Triage many possible courses of action, in a high ambiguity environment, making use of both quantitative analysis and business judgment

Your experience should include...

• 3+ years validated experience in analytics, data development, and data warehousing delivering reliable data pipelines with confirmed test infrastructure, CICD, data quality checks, monitoring, and alerting
• Experience with AWS Cloud, EMR, Serverless compute, Redshift, S3, MWAA, Spark and GitHub
• Experience working with Big Data technologies (Hadoop, Hive, Spark) and with data orchestration tools (Airflow, Oozie, Step Functions)
• Experience in programming using Python, SQL, Java or Scala. Proven understanding of database technologies including NoSQL and SQL
• Skilled in large-scale batch and streaming data processing (Hadoop, Spark, Kinesis, Flink, EMR)
• 1+ Years of Experience in ML Engineering or ML code development and Ai

You may also have...

• Bachelors or Master s degree
• Experience in Tableau reports for analytics

Weve got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy s benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups ( Culture ). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way.