Data Engineer II, S3P Data Engineering Job Vacancy in ADCI – Karnataka Bengaluru, Karnataka – Updated today
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Company Name : ADCI – Karnataka
Location : Bengaluru, Karnataka
Position :
Job Description : 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 or higher in a quantitative/technical field (e.g. Computer Science, Engineering).
Demonstrated strength in data modeling, ETL development, and Data warehousing. Data Warehousing · Experience with Redshift, Oracle, NoSQL etc.
Experience with AWS services including S3, Redshift, EMR, Kinesis and RDS.
Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)
Job summary
At Amazon, a large portion of our business is driven by third party Sellers who set their own prices. Are you interested in owning pricing analytics to support the growth and competitiveness of our third party Seller business on Amazon? We are looking for a seasoned Data Engineering to help us support the WW Pricing team. The Pricing team is responsible for the metrics that define price competitiveness, quantify seller experience and customer price perception. We support all Amazon programs and geographies worldwide.
The ideal candidate is a motivated self-starter that can work in a fast paced, ambiguous environment with limited supervision. You must be a fast learner who can quickly absorb the nuances of Amazon’s varied pricing programs and processes.
Amazon is one of the world’s most trusted companies. Help us keep it that way.
CORE RESPONSIBILITIES:
Architecture design and implementation of next generation data pipelines and BI solutions
Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc.
Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs.
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
Masters in computer science, or related technical quantitative field
Experience providing technical guidance and mentoring other engineers for best practices on data engineering
Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
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