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Data Engineer, Amazon

Data Engineer, Amazon

Amazon

2 - 7 years

25 - 30 Lacs

bengaluru

Posted:1 hour ago| Platform:

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Skills Required

data modeling datastage plsql data structures olap informatica ssis business intelligence analytics python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Our team offers a unique opportunity to build a new set of analytical experiences from the ground up. You will be part the team that is focused on acquiring new merchants from around the world to payments around the world. The position is based in India but will interact with global leaders and teams in Europe, China, US, and other regions. You should be highly analytical, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines. You will be comfortable thinking big and diving deep. A proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced, dynamic business environment is strongly preferred. Design, develop, implement, test, and operate large-scale, high-volume, high-performance data structures for analytics and Reporting. Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, AWS Redshift, and OLAP technologies, Model data and metadata for ad hoc and pre-built reporting. Work with product tech teams and build robust and scalable data integration (ETL) pipelines using SQL, Python and Spark. 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. Collaborate with Analysts, Business Intelligence Engineers and Product Managers to implement algorithms that exploit rich data sets for statistical analysis, and machine learning. Participate in strategic tactical planning discussions, including annual budget processes. Communicate effectively with product / business / tech-teams / other Data teams. 2+ years of data engineering experience Experience with data modeling, warehousing and building ETL pipelines Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) Experience with one or more scripting language (e.g., Python, KornShell) Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

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Data Engineer, Amazon