ADCI MAA 12 SEZ
Technology
BigDataEngineerIII
“Big Data Engineer III at ADCI MAA 12 SEZ. Skills: Big Data Technologies, Data Pipelines, ETL, SQL, Programming Languages. Design, develop, and operate highly-scalable, high-performance, low-cost, and accurate data pipelines in distributed data processing platforms with AWS technologies. Recognize and adopt best practices in data processing, reporting, and analysis: data integrity, test design, analysis, validation, and documentation. Keep up to date with big data technologies, evaluate and make ”
What You'll Achieve.
We compute the profitability of each and every shipment that gets shipped out of Amazon. Guess what, we predict the profitability of future possible shipments too.
Industry & Context.
distributed systems; data architecture
If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
What They're Looking For.
Must Have
5+ years of data engineering experience. Experience with data modeling, warehousing and building ETL pipelines. Experience with SQL. Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS. Experience mentoring team members on best practices.
Nice to Have
Experience with big data technologies such as: Hadoop, Hive, Spark, EMR. Experience operating large data warehouses. Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent. Knowledge of distributed systems as it pertains to data storage and computing. Experience communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions and data engineering strategy. Experience building complex software systems that have been successfully delivered to customers.
What You'll Do.
Design, develop, and operate highly-scalable, high-performance, low-cost, and accurate data pipelines in distributed data processing platforms with AWS technologies.
Recognize and adopt best practices in data processing, reporting, and analysis: data integrity, test design, analysis, validation, and documentation.
Keep up to date with big data technologies, evaluate and make decisions around the use of new or existing software products to design the data architecture.
How You'll Work.
Team & Collaboration
Collaborate with both Retail Finance and central FP&A teams to understand the interdependence and deliverables.
Communication Scope
business communication skills; communication skills
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