Overview
On Site
Full Time
Skills
Electronic Health Record (EHR)
Extract
Transform
Load
Java
Unix
Linux
Soft Skills
Quick Learner
Leadership
Internet
Consumer Goods
Analytical Skill
Accountability
Agile
Data Engineering
Backend Development
Python
Apache Spark
SQL
NoSQL
Database
Git
Continuous Integration
Continuous Delivery
Testing
Communication
Management
Software Development
Debugging
Amazon Web Services
Google Cloud
Google Cloud Platform
KPI
Migration
Cloud Computing
Reporting
Use Cases
Job Details
Must-have skills/qualifications (technical, soft skills, certifications, tools):
Technical: AWS-EMR, Airflow, DBT, Google Cloud Platform, BigQuery, BQ-ETL, Python, Spark, Java, Git, Unix/Linux, CI/CD tools
Soft Skills: Communication, Proactive Attitude, Quick Learner
Ideal experience level (years, leadership, industries):3+ years
Any preferred industries or companies for background? Internet, Technology, Consumer Products
Desired personality or work style: Analytical Thinker, Independent and Accountable, Collaborative, Agile and Flexible
Key attributes or values sought in the candidate: Integrity, Ownership, Good Communication
Minimum Qualifications
3+ years of experience in data engineering or backend development
Strong proficiency in Python
Experience with distributed processing tools like Apache Spark
Solid SQL skills and experience with both relational and NoSQL databases
Hands-on with Google Cloud Platform or AWS and relevant cloud APIs
Familiarity with Git, CI/CD, and testing frameworks
Strong communication and time management; can operate independently
Quals--
Primary responsibilities (daily/weekly): Software development, design, coding, debugging
Key projects or initiatives for the role: Migration of Search reporting tools to Cloud AWS/Google Cloud Platform
Success metrics or KPIs for this role: Successful migration to cloud and deprecating on-prem tools
How is success measured? Parity of Cloud Tools with on-prem Tools supporting all reporting use cases with no business impact.
Technical: AWS-EMR, Airflow, DBT, Google Cloud Platform, BigQuery, BQ-ETL, Python, Spark, Java, Git, Unix/Linux, CI/CD tools
Soft Skills: Communication, Proactive Attitude, Quick Learner
Ideal experience level (years, leadership, industries):3+ years
Any preferred industries or companies for background? Internet, Technology, Consumer Products
Desired personality or work style: Analytical Thinker, Independent and Accountable, Collaborative, Agile and Flexible
Key attributes or values sought in the candidate: Integrity, Ownership, Good Communication
Minimum Qualifications
3+ years of experience in data engineering or backend development
Strong proficiency in Python
Experience with distributed processing tools like Apache Spark
Solid SQL skills and experience with both relational and NoSQL databases
Hands-on with Google Cloud Platform or AWS and relevant cloud APIs
Familiarity with Git, CI/CD, and testing frameworks
Strong communication and time management; can operate independently
Quals--
Primary responsibilities (daily/weekly): Software development, design, coding, debugging
Key projects or initiatives for the role: Migration of Search reporting tools to Cloud AWS/Google Cloud Platform
Success metrics or KPIs for this role: Successful migration to cloud and deprecating on-prem tools
How is success measured? Parity of Cloud Tools with on-prem Tools supporting all reporting use cases with no business impact.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.