Data Engineer

Data Engineer

Amazon Web Services (AWS)
5-8 years
Not Specified

Job Description

Amazon Business Sales Team is looking for a Data Engineer (DE) to play a significant role in building their large-scale, high-volume, high-performance data integration and delivery services. These data solutions would be primarily used in periodic reporting, and drive business decision making while dealing efficiently with the massive scale of data available through our Data Warehouse as well as our software systems. You will be responsible for designing and implementing solutions using third-party and in-house reporting tools, modelling metadata, building reports and dashboards, integrating data across disparate & distributed systems and administering the platform software. You are expected to analyze challenging Business Problems and build efficient, flexible, extensible, and scalable data models, ETL designs and data integration services. You are required to support and manage growth of these data solutions.
You must be a self-starter and be able to learn on the go. Excellent written and verbal communication skills are required as you will work very closely with diverse teams.
As a Data Engineer in Amazon Business Sales team you will be working in one of the world's largest cloud-based data lakes. You should be skilled in the architecture of data warehouse solutions for the Enterprise using multiple platforms (EMR, RDBMS, Columnar, Cloud). You should have extensive experience in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. Above all you should be passionate about working with huge data sets and someone who loves to bring datasets together to answer business questions and drive change.
. Bachelors Degree in an engineering or technical field
. 5+ years experience with detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools.
. Experience in relational database concepts with a solid knowledge of SQL.
. Strong knowledge of various data warehousing methodologies and data modelling concepts. Hands on modelling experience is highly desired
. Experience performing various performance tuning activities at the both database level as well as ETL
. Knowledge of professional software engineering practices & best practices for the full software development lifecycle, including coding standards, code reviews, source control management, build processes, testing, and operations
. Industry experience as a Data Engineer with a track record of manipulating, processing, and extracting value from large datasets.
. Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc)
. Experience in building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
. Experience building data products incrementally and integrating and managing datasets from multiple sources
. Query performance tuning skills using Unix profiling tools and SQL
. Experience in large-scale data warehousing and analytics projects, including AWS technologies - Redshift, S3, EC2, Data-pipeline and other big data technologies
. Experience providing technical leadership and mentoring other engineers for the best practices on the data engineering space
. Linux/UNIX fundamentals in processing large data sets.
. Experience with AWS
. Experience in Salesforce Data Integration is preferred
Amazon is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

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