Amazon Hiring Drive 2024: Amazon Hiring Drive 2024 for its Data Engineer. Amazon Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a B.E/B.Tech degree. if you are interested, please apply as soon as possible.
Company Name: Amazon
Role: Data Engineer
Location: Bengaluru
Experience:1+ years
Qualification: B.E/B.Tech
Batch: Any
Job Type: Full Time
Salary: 14.0 LPA (Expected)
Amazon Hiring Drive 2024
Job Description:
- Amazon’s Consumer Payments organization is seeking a highly quantitative, experienced Business Intelligence Engineer to drive the development of analytics and insights.
- You will succeed in this role if you are an organized self-starter who can learn new technologies quickly and excel in a fast-paced environment.
- In this position, you will be a key contributor and sparring partner, developing analytics and insights that global executive management teams and business leaders will use to define global strategies and deep dive businesses.
- 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, Japan, 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
Requirements:
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
- 1+ years of data engineering experience
- Experience with SQL
- 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)
Responsibility:
- 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
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