Business Intelligence Engineer (BB-933BC)

Found in: Talent IN

DESCRIPTIONFulfillment Centers (FCs) are the physical engine at the heart of Amazon, that move billions of units of inventory, employ tens of thousands of people, and ensure that customers get what they want when promised. Amazon India FC Operations team is looking for a passionate, results-oriented Business Intelligence Engineer who thrives in a fast paced, data-driven environment. The selected candidate will have a passion for building scalable mechanisms that directly support the scaling of our FC Operations through strong business acumen combined with outstanding Business Intelligence Engineering, Data management, and Data Science capabilities.In this role, you will work with a team of business intelligence engineers and data scientists to solve complex data-oriented and automation challenges for the IN Operations network. You will solve real world problems and build metrics, analytical models, and business cases to improve the speed and quality of decision making across INFC Ops. Attributes that would help you succeed in this role include i)ability to understand complex operational problems and build appropriate scalable solutions, ii) the capability to remain flexible and adept at learning new tools, and iii) the desire and ability to innovate on behalf of our customers in IN Ops. Our environment is fast paced and therefore requires detail-oriented individuals comfortable interacting or working with multiple teams (operations, business and technical).A day in the lifeThe position will work closely with fulfillment center operations teams to develop platform and tools and analyze data to support OE initiatives, dig deep into data to determine root cause of defects, build and maintain decision support tools, and present findings to business partners to drive improvements in FC-wide quality.The complexity of research and skills for a program developer is well beyond basic data entry and research. It involves complex analysis and diving deep into key metrics based on requests, building and maintaining multiple databases, extensive knowledge of software applications to create tools, and understanding of multiple programming languages.Key Responsibilities include:· Design, build and own all the components of a high volume data warehouse end to end.· Interface with other technology teams to extract, transform, and load (ETL) data from a wide variety of data sources· Build efficient data models using industry best practices and metadata for ad hoc and pre-built reporting· Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions· Design, implement, and support a self-service platform providing ad hoc access to large datasets· Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers· Interface with business customers, gathering requirements and delivering complete reporting solutions· Provides input and recommendations on technical issues to BI engineers and business analystsBASIC QUALIFICATIONS· 3+ years of experience as an analyst or engineer in the data/BI space· Experience with data visualization using Tableau, Quicksight, or similar tools· Experience with SQL· 3+ years of experience as an analyst or engineer in the data/BI space· Experience with data visualization using Tableau, Quicksight, or similar tools· Experience with SQL· Bachelor’s degree in Computer Science (or similar), or 4+ years of software development/data engineering experience· Demonstrated strength in data modeling, ETL development, and Data warehousing.· Experience with Redshift, NoSQL, Aurora, RDS etc.· Experience on reporting platform such as Quicksight /Tableau· Experience in at least one modern object-oriented programming language (Python, Java, Ruby)· Experience on AWS Services (e.g. S3, SNS, SQS, Lambda, Kinesis, ES, EMR)· Experience in working and delivering end-to-end projects independently.· Knowledge of distributed systems as it pertains to data storage and computingPREFERRED QUALIFICATIONS· Experience with Agile development methodologies· Experience on development of web application.· Experience with AWS services including S3, Redshift, EMR, Kinesis and RDS.· Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)· Experience with building pipelines from application databases

calendar_today4 days ago


location_on Bengaluru, India

work Amazon

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