Amazon BIE Manager eCS Data Engineering Analytics 

India, Karnataka, Bengaluru 

165565061

Key job responsibilities
• Defining, developing and maintaining critical business and operational metrics reviewed on a weekly, monthly, quarterly, and annual basis.
• Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations.
• Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of reports.
• Identifying data needs and driving data quality improvement projects.
• Thought leadership on data mining and analysis. Understanding the broad range of Amazon’s data resources, which to use, how, and when. Mining and manipulating data from database tables, simulation results, and log files.Additionally, as a technical manager in the team you will:• Mentor and Develop Talent: Assist in the career development of others, mentoring employees and teams on advanced technical issues and career growth.
• Raise the Quality Bar: Provide guidance and mentoring to ensure that right technology choices are being made. Exert technical influence over multiple teams, increasing their productivity and effectiveness by sharing your deep knowledge and experience.
• Define the long-term strategy: Be part of the management team that develops strategic plans and ensures tactical execution of these plans.Bangalore, KA, IND

- 5+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience
- 8+ years of data engineering experience
- Experience managing a data or BI team
- 5+ years of relational database technology (such as Redshift, Oracle, MySQL or MS SQL) experience
- Experience communicating to senior management and customers verbally and in writing
- Experience leading and influencing the data or BI strategy of your team or organization
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Knowledge of software development life cycle or agile development environment with emphasis on BI practices