Data Engineer, GCF Finance Tech
Santa Monica, California, USA
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...WW Consumer Finance Technology team is looking for an experienced Data Engineer to drive technical implementation of process optimization projects within WW Consumer Finance Planning and Reporting.
As a data engineer, you will have an exciting opportunity to work on large datasets in one of the world's biggest and most complex data warehouse environments. You will collaborate with business teams within Global Customer Fulfillment Finance organization on various process optimization initiatives, provide technical solution that will address unique business challenges.
You will be responsible for end-to-end data solution design and implementation including but not limited to data modelling, ETL, BI analytical layer. You will have an opportunity to work with leading edge AWS technologies, third-party and in-house tools.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Basic Qualifications
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
- 3+ years of industry experience in Software Development, Data Engineering, Business Intelligence, or related field with a track record of manipulating, processing, and extracting value from large datasets.
- Experience in Data Modeling, ETL Development, and Data Warehousing.
- Expert-level proficiency in writing complex, highly-optimized SQL queries across large datasets.
- Experience building end-to-end solutions that enable business stakeholders, BI engineers and analysts to self-serve their business intelligence needs.
- Experience in coding and automating processes.
- Experience working with distributed systems as it pertains to data storage and computing
- Experience working on multiple large scale, cross-functional projects
- Strong customer focus, ownership, urgency, and drive.
- Excellent communication skills.
- Effective analytical, troubleshooting, and problem-solving skills
Preferred Qualifications
- Masters in computer science, mathematics, statistics, economics, or other quantitative fields
- 5+ years of experience as a Data Engineer, BI Engineer or in a similar role.
- Experience using big data technologies (Hadoop, Hive, Hbase, Spark, EMR, etc.)
- Experience working with AWS (Redshift, S3, EMR, Glue, Airflow).
- Hands-on in any scripting language (C#, Java, Python, Perl, Typescript, Ruby).
- Hands on experience on ETL tools (SSIS, Alterix, Talend)
- Background in non-relational databases or OLAP is a plus.
- Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy.
- Experience providing technical leadership and educating other engineers for best practices on data engineering.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS Big Data Business Intelligence Computer Science Data Warehousing Distributed Systems Economics Engineering ETL Finance Hadoop HBase Mathematics OLAP Perl Python RDBMS Redshift Ruby Spark SQL SSIS Statistics Talend TypeScript
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Azure Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open GCP-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Java-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open LLMs-related jobs
- Open Databricks-related jobs
- Open Data warehouse-related jobs