Data Engineer, Decision Intelligence Technology
AWS
Big Data
Bigdata
Cloud
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Science
Data Warehouse
Database
Databases
Datastage
EMR
ETL
Hadoop
Informatica
Information Technology (IT)
Integration
Programming Language
Programming Languages
Reporting and Analytics
Scala
Software Engineering
Spark
SQL
Sql Server Integration Services
Job Description
AWS Kumo is seeking a Data Engineer to strengthen data architecture, quality, monitoring, and availability for customer-facing applications and support operations.
Responsibilities
- Develop and improve the existing data architecture, focusing on data quality, monitoring, and data availability
- Collaborate with Data Scientists to implement advanced analytics algorithms that leverage rich data sets for statistical analysis, prediction, clustering, and machine learning
- Work with Business Analysts across teams to build and validate hypotheses aimed at improving the AWS Support business
- Continuously improve reporting and analysis processes to simplify self-service support for customers
- Stay current with advances in big data technologies and run pilots to design data architecture that scales with growing customer experience data on AWS
Requirements
- 1+ years of data engineering experience
- Experience with data modeling, data warehousing, and building ETL pipelines
- Experience with one or more query languages, such as SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, or Scala
- Experience with one or more scripting languages, such as Python or KornShell
Technologies
- SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala
- Python, KornShell
- Hadoop, Hive, Spark, EMR
- Informatica, ODI, SSIS, BODI, Datastage
- ETL
Benefits
- Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
- 401(k) matching
- Paid time off
- Parental leave
- Sign-on payments
- Restricted stock units (RSUs)
Preferred Qualifications
- Experience with big data technologies such as Hadoop, Hive, Spark, and EMR
- Experience with ETL tools such as Informatica, ODI, SSIS, BODI, or Datastage
Location: Bellevue, WA (onsite)
Compensation: USD 101,300 - 160,000 per year
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