Senior Data Analytics Engineer

As a Data Engineer at GoDaddy, you will play a crucial role in developing high-quality batch and streaming big data pipelines in an agile (scrum) development environment. You will collaborate with data consumers to deliver complete data solutions that drive key business decisions. Your responsibilities will include embracing and defining standards and best practices in data engineering, keeping up to date with advances in big data technologies, and developing data architecture to scale using cloud services. You will need to triage multiple courses of action in a high ambiguity environment, utilizing quantitative analysis and business judgment effectively. **Key Responsibilities:** - Work in an agile (scrum) development environment, constantly shipping and iterating - Develop high quality batch and streaming big data pipelines - Collaborate with data consumers, bringing together requirements, and delivering complete data solutions - Embrace and define the standards and best practices in data engineering - Keep up to date with advances in big data technologies and develop the data architecture to scale using cloud services - Triage many possible courses of action in a high ambiguity environment, making use of both quantitative analysis and business judgment **Qualifications Required:** - 3 years validated experience in analytics, data development, and data warehousing - 1 year of experience in ML Engineering / ML code development and Ai - 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 - Skilled in large-scale batch and streaming data processing (Hadoop, Spark, Kinesis, Flink, EMR) - Experience in Tableau reports for analytics GoDaddy offers a range of total rewards, including paid time off, retirement savings, bonus eligibility, equity grants, health benefits, parental leave, and more. The company values diversity and inclusion and encourages employees to embrace their unique perspectives and experiences. GoDaddy is committed to empowering entrepreneurs worldwide and creating a more inclusive opportunity for all. If you are passionate about crafting data-driven products and thrive in a fast-paced environment where continuous innovation is key, this role at GoDaddy may be the perfect fit for you. Join GoDaddy's diverse and inclusive team and make a difference in empowering entrepreneurs everywhere. As a Data Engineer at GoDaddy, you will play a crucial role in developing high-quality batch and streaming big data pipelines in an agile (scrum) development environment. You will collaborate with data consumers to deliver complete data solutions that drive key business decisions. Your responsibilities will include embracing and defining standards and best practices in data engineering, keeping up to date with advances in big data technologies, and developing data architecture to scale using cloud services. You will need to triage multiple courses of action in a high ambiguity environment, utilizing quantitative analysis and business judgment effectively. **Key Responsibilities:** - Work in an agile (scrum) development environment, constantly shipping and iterating - Develop high quality batch and streaming big data pipelines - Collaborate with data consumers, bringing together requirements, and delivering complete data solutions - Embrace and define the standards and best practices in data engineering - Keep up to date with advances in big data technologies and develop the data architecture to scale using cloud services - Triage many possible courses of action in a high ambiguity environment, making use of both quantitative analysis and business judgment **Qualifications Required:** - 3 years validated experience in analytics, data development, and data warehousing - 1 year of experience in ML Engineering / ML code development and Ai - 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 - Skilled in large-scale batch and streaming data processing (Hadoop, Spark, Kinesis, Flink, EMR) - Experience in Tableau reports for analytics GoDaddy offers a range of total rewards, including paid time off, retirement savings, bonus eligibility, equity grants, health benefits, parental leave, and more. The company values diversity and inclusion and encourages employees to embrace their unique perspectives and experiences. GoDaddy is committed to empowering entrepreneurs worldwide and creating a more inclusive opportunity for all. If you are passionate about crafting data-driven products and thrive in a fast-paced environment where continuous innovation