Data Engineer II

Pay rate range - $65/hr. to $68/hr. on W2
Onsite

Must Have
SQL
AWS experience
Programming Language

Job Description:
REQUIRED SKILLS:

• Collaborate with Business Intelligence Engineering team members, engineering stakeholders, partner technical teams, and business stakeholders, to gather business and functional requirements, and translate these requirements into a robust, scalable, and operable data infrastructure that works well within the overall AWS data architecture, and leads to improved engineering decisions.
• Develop a deep understanding and awareness of operational data from the AWS fleet, and build mechanisms for retrieving and aggregating such data for use by downstream business intelligence solutions.
• Develop a deep understanding of our vast data sources, and provide continuous recommendations for use to solve specific business problems.
• Take ownership of data reliability by, among other things, performing deep-dives to find root causes of potential data anomalies, and taking subsequent action to address these anomalies.
• Continuously optimize the performance of data queries, and address extract, transform, load (ETL) procedures.
• Insist on the highest standards by recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
• SQL experience
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

Years of Experience: 3-5 years

Degree or Certification:
Bachelors' degree in computer science, data engineering or data analytics