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Data Engineer

Amazon – Seattle, Washington

Query performance tuning skills using Unix profiling tools and SQL ·

Salary : $45000 - $75000  / YEAR


As a Data Engineer II on’s Business Data Technologies team, you will develop new data engineering patterns that leverage a new cloud architecture, and will extend or migrate our existing data pipelines to this architecture as needed. You will also be assisting with integrating the Redshift platform as our primary processing platform to create the curated data model for the enterprise to leverage. You will be part of a team building the next generation data warehouse platform and to drive the adoption of new technologies and new practices in existing implementations. You will be responsible for designing and implementing the complex ETL pipelines in data warehouse platform and other BI solutions to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making at

· Interfacing with business customers, gathering requirements and developing new datasets in data warehouse
· Optimizing the performance of business-critical queries and dealing with ETL job related issues
· Tuning query performance
· Identifying the data quality issues to address them immediately to provide great user experience
· Extracting and combining data from various heterogeneous data sources
· Modelling data and metadata to support ad-hoc and pre-built reporting
· Working with customers to fulfill their data requirement using DW tables & maintain metadata for all DW Tables.


· Degree in Computer Science, Engineering, Mathematics, or a related field and 4+ years industry experience
· 2+ years Data modeling, ETL development, and data warehousing.
· 2+ years Data Warehousing Experience with Oracle, Redshift, Teradata, etc.
· Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)


· A desire to work in a collaborative, intellectually curious environment.
· Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) 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 implementing machine learning algorithms (NN, RF, etc.)
· Experience 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 leading large-scale data warehousing and analytics projects, including using AWS technologies – Redshift, S3, EC2, Data-pipeline and other big data technologies
· Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space
· Linux/UNIX including to process large data sets.
· Experience with AWS

Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age.

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