Data Engineer

Job description

DESCRIPTION

As an Amazon.com Data Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should be skilled in the architecture of DW solutions for the Enterprise using multiple platforms (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.

As a Data Engineer on Amazon.com’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 Amazon.com 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 Amazon.com.

· 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.

PREFERRED QUALIFICATIONS

· 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 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

Desired profile

BASIC QUALIFICATIONS

· A desire to work in a collaborative, intellectually curious environment.
· Degree in Computer Science, Engineering, Mathematics, or a related field and 4-5+ years industry experience
· Demonstrated ability in data modeling, ETL development, and data warehousing.
· Data Warehousing Experience with Oracle, Redshift, Teradata, etc.
· Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)