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Req. for the post Data Engineer, Amazon Appstore

5.00 to 7.00 Years   Bangalore   17 Jul, 2023
Amazon
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaDBA / Datawarehousing
EmploymentTypeFull-time

Job Description

    Amazon Appstore is a fast-growing Organization and responsible for providing delightful customer experiences across Amazon devices (FireTV, Tablets) with a vast selection of relevant apps, games, and services. The Appstore team is seeking an experienced Data Engineer to join our central Data Engineering and Analytics team. The role will be responsible for closely partnering with Software Development Engineers and Business Intelligence Engineers to build high quality data pipelines and manage Appstore wide central data lake. The Appstore Data Lake powers critical external customer (3P developer) facing reporting as well as self-service analytics for internal stakeholders. This is an exciting opportunity to work on very large datasets and influence products that impact tens of millions of customers on a daily basis.Key job responsibilitiesIn this role, you will:
    • Manage and administer data platform built on AWS services such as EC2, RDS, Redshift, Kinesis, EMR, Lambda etc
    • Develop and improve the current data architecture, data quality, monitoring and data availability
    • Help continually improve ongoing reporting and analysis processes, simplifying self-service support for customers
    • Provide technical and thought leadership for Data Engineering and Business Intelligence within Appstore
    • Create a Data Governance strategy for mitigating disparate data sources where applicable.
    • Establish key relationships which span WW Appstore business units, PMs and Business Intelligence teams
    ,
    • Bachelors degree in Computer Science, Engineering, Math, Finance, or related discipline
    • 5+ years of experience with data modeling, data warehousing, and building ETL pipelines
    • Expert-level proficiency in writing and optimizing SQL
    • Knowledge of AWS services including S3, Redshift, EMR, Kinesis and RDS.
    • Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)
    • Ability to write code in Python, Ruby, Scala or other platform-related Big data technology
    • Masters degree in an engineering or technical field such as Computer Science, Physics, Mathematics, Statistics, or Engineering
    • Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
    • Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
    • Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
    • Linux/UNIX including to process large data sets.
    • Experience building data products which directly influence Tier-1 or external customer facing services

Keyskills :
pythonbig datadata warehousingsqlinformatica

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