Data Engineer

Our CompanyChanging the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! Position SummaryExperienced ETL Developers and Data Engineers to ingest and analyze data from multiple enterprise sources into Adobe Experience PlatformWhat you’ll doAnalyze and understand customer’s use case and data sources and extract, transform and load data from multitude of customer’s enterprise sources and ingest into Adobe Experience PlatformDesign and build data ingestion pipelines into the platform using PySparkEnsure ingestion is designed and implemented in a performant manner to support the throughout and latency needed.Develop and test complex SQLs to extract\analyze and report the data ingested into the Adobe Experience platform.Ensure the SQLs are implemented in compliance with the best practice to they are performant.Migrate platform configurations, including the data ingestion pipelines and SQL, across various sandboxes.Debug any issues reported on data ingestion, SQL or any other functionalities of the platform and resolve the issues.Support Data Architects in implementing data model in the platform.Contribute to the innovation charter and develop intellectual property for the organization.Present on advanced features and complex use case implementations at multiple forums.  Attend regular scrum events or equivalent and provide update on the deliverables.Work independently across multiple engagements with none or minimum supervision.RequirementsAbout 4-6 years of professional technology experience mostly focused on the following:4+ year of experience on developing data ingestion pipelines using Pyspark(batch and streaming).4+ years experience on multiple Data engineering related services on AWS, Azure, GCP, e.g. EMR, Glue, Athena, DynamoDb, Kinesis, Kafka, Redshift etc.Experience of developing applications that consume the services exposed as ReST APIs.Experience and ability to write and analyze complex and performant SQLsSpecial Consideration given for2 years of Developing and supporting ETL pipelines using enterprise-grade ETL tools like Pentaho, Informatica, TalendGood knowledge on Data Modelling(design patterns and best practices)Experience with Reporting Technologies (i.e. Tableau, PowerBI)Adobe is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call (408) 536-3015.Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other’s employees.