Job Location: Bangalore
- 3+ years of experience as a Data Engineer or in a similar role
- Experience with data modeling, data warehousing, and building ETL pipelines
- Experience in SQL
- · Bachelor’s degree in Computer Science or a related technical field from an accredited institution, and 5+ years of relevant employment experience.
- 5+ years of industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets
- Advanced SQL writing and experience in data mining (SQL, ETL, data warehouse, etc.) and using databases in a business environment with complex datasets.
Linux/UNIX experience including to process large data sets, and proficiency with UNIX profiling tools
Experience leading large-scale data warehousing and analytics projects, including using AWS technologies – Redshift, S3, EC2, Data-pipeline and other big data technologies
- Ability to extract data from various sources and to design/construct/execute complex analyses to finally come up with data/reports that help solve the business problem
- Proven analytical and quantitative ability and a passion for enabling customers to use data and metrics to back up assumptions, develop business cases, and complete root cause analyses.
- Strong verbal and written communication skills, including an ability to effectively lead and influence interactions with both business and technical teams.
Job summary
Amazon is looking to hire a talented, smart and experienced Data/BI Engineer for its India Machine Learning team. Our mission is to build ML solutions that create high impact for Amazon’s IN business by closely working with business and engineering teams.
As a member of the team, Data Engineer will play a key role in contributing to the success of ML solutions, by partnering with respective business owners and scientists to leverage data and identify areas of improvement & optimization. The role sits in the sweet spot between technology, machine learning and business worlds AND provides opportunity for growth, high business impact and working with seasoned business leaders. As an Amazon.com Data Engineer II you will be working in one of the world’s largest and most complex data warehouse environments. You should be skilled in the architecture of DW solutions for the Enterprise using multiple platforms (RDBMS, Columnar, Cloud). You should have extensive experience in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. Above all, you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change. You will be responsible for designing and implementing the complex ETL pipelines in data warehouse platform and other BI solutions to support the rapidly growing and dynamic business demand for data
An ideal candidate will be someone with sound technical background in data domain – storage / processing / analytics, has solid business acumen and a strong automation / solution oriented thought process. Will be a self-starter who can start with a business problem and work backwards to conceive & devise best possible solution. Is a great communicator and at ease on partnering with business owners and other internal / external teams. Can explore newer technology options, if need be, and has a high sense of ownership over every deliverable by the team. Is constantly obsessed with customer delight & business impact / end result and ‘gets it done’ in business time.
- Working closely with applied scientists in the team to drive new feature creations and generating the datasets for model training/validation
- Interfacing with business customers, gathering requirements and developing new datasets in data warehouse
- Building and migrating the complex ETL pipelines from Oracle system to Redshift and Elastic Map Reduce to make the system grow elastically
- Optimizing the performance of business-critical queries and dealing with ETL job-related issues
- Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
Analyzing and understanding large amounts of Amazon’s historical business data for hypothesis testing
- Develop mechanisms to track business activity and providing clear, compelling reporting on a regular basis.
- Understands our technology environment, and the performance and scalability issues associated with certain applications.
Code incorporates best practices and is written with little or no guidance from higher level team members.
- Preferred qualifications:
- Exposure to software development process
- Experience with designing and implementation of big data systems
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