Senior Manager, Data Engineering

What can you tell your friends when they ask you what you do?As the Sr. Manager of Data Engineering, you will oversee the development and roadmap execution for the teams working on all our core data products which include data.ai Intelligence and Ascend. Your focus will be on the quality and timeliness of the team's output (including code and accompanying documentation) and ensure an appropriate balance of speed to market with robustness of solutions.You will be responsible for and take pride in...As part of our agile and growing organization, you will challenge norms and find better ways to partner with our product organization and various stakeholders to ensure we are meeting the needs of our business requirement while properly setting expectations. As a key leader of a multicultural distributed team, you will use your experience to ensure we foster an open culture that is inclusive of all thoughts and ideas. This includes Align with stakeholders on mission critical projects to resolve complex business problems, ensuring projects commitments are metDesign and implement complex product components based on requirements with possible technical solutions.Lead team to write data programs using pyspark with a commitment to maintaining high quality work while being confident in dealing with data mining challenges.Discover any feasible new technologies lying in the Big Data ecosystem, share them to team with your professional perspectives.Be comfortable conducting detailed discussions with Data Scientists regarding specific questions related to specific data models.You should be a strong problem solver with proven experience in big data. You should recognize yourself in the following... 7+ years experience working on Big Data and Data Analysis domain4+ years experience on team managementHands-on experience and deep knowledge of Hadoop ecosystem Must: Spark, Mapreduce, HDFSPlus: Storm, KafkaDataBricks Must have 2+ years Linux environment development experience.Proficient with programming in Python, Databricks, experience in Pandas, Sklearn or Other data science and data analysis toolset is a big plus.Having a background of data mining and machine learning domain, familiar with common algorithms and libs is a plus.Passion for cloud computing (AWS in particular) and distributed systems.You must be a great problem solver with the ability to dive deeply into complex problems and emerge with clear and pragmatic solutions.Good communication, and cooperation globally.Major in Math or Computer Science. Some of the total rewards we offer… Holistic wellbeing for all employees including a Wellbeing allowance and a Wellness Benefits bundle.A $1,000 (country equivalent) WFH allowance.Paid leave, so long as you promise to come back!90 Day Passport program - work from anywhere in the world for 90 days / year. Got Lunch? We allow $15 per week expensed (country equivalent) for lunch.Unlimited access to online learning platform Udemy to help you develop your skills.Virtual initiatives and events to keep you connected with your colleagues.And much more