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| Job Location | Bangalore |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | IT - Software |
| Functional Area | Sales / BD,General / Other Software |
| EmploymentType | Full-time |
Retail Business Services (RBS) supports Amazon s Retail business growth WW through three core tasks. These are (a) Selection, where RBS sources, creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams.Our team of high caliber software developers, applied scientists, data engineers, product managers and Business Intelligence Engineers use rigorous ML and deep learning approaches to ensure that we identify & fix the right catalog defect to ensure the good shopping experience for our customers.We are looking for a customer-obsessed Data Engineer that thrives in a culture of data-driven decision making who will be responsible to help us hold a high bar for RBS Data Engineering TeamThis individual will be responsible for driving/creating: Data pipelines, making datasets readily-consumable by visualization tools and notification systems. Creating automated alarming and dash boarding to monitor data integrity. Building new Python utilities and maintaining existing ones Enabling more efficient adhoc queries & analysis Working closely with research scientists, business analysts and product leads to scale data Working closely with product and analytic leads to design and implement relevant monitoring and alerting systems Ensuring consistency between various platform, operational, and analytic data sources to enable faster and more efficient detection and resolution of issues Exploring and learn the latest AWS technologies to provide new capabilities and increase efficiencies Mentoring the team on data engineering best practices, BASIC QUALIFICATIONS 5+ years of industry experience in Data Engineering, Business Intelligence, Data Science, or related field with a track record of manipulating, processing, and extracting value from large datasets. Experience with data modeling, data warehousing, and building ETL pipelines Bachelors degree in Computer Science, Engineering, Mathematics, or a related technical discipline. Hands-on experience and advanced knowledge of SQL and Python Experience in ETL Development, and Data Warehousing. Experience working with AWS big data technologies (Redshift, S3, EMR, Glue) Knowledge of Data Management fundamentals and Data Storage principles. Experience in coding and automating processes. Strong customer focus, ownership, urgency, and drive. Excellent communication skills. Effective analytical, troubleshooting, and problem-solving skills. PREFERRED QUALIFICATIONS Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy. Experience providing technical leadership and educating other engineers for best practices on data engineering. Experience using big data technologies (Hadoop, Hive, Hbase, Spark, EMR, etc.).
Keyskills :
bomsupply chaindata sciencecash flowdata managementconsultingassembly drawingsfree cash flowroot causecontract managementbig datadatadriven decision making