Quality Engineer Jobot
Stamford, CT1 day ago
- $90,000–$120,000 Per Year
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Skills
- Amazon Web Services (AWS)unmatched
- Analysis Skillsunmatched
- Apache Hadoopunmatched
- Apache Sparkunmatched
- Big Dataunmatched
- Business Strategyunmatched
- Cloud Computingunmatched
- Communication Skillsunmatched
- Cross-Functionalunmatched
- Data Collectionunmatched
- Data Managementunmatched
- Data Modelingunmatched
- Data Qualityunmatched
- Data Setsunmatched
- Data Storageunmatched
- Data Warehousingunmatched
- Database Extract Transform and Load (ETL)unmatched
- Experiment Designunmatched
- Manufacturing/Industrial Processesunmatched
- Needs Assessmentunmatched
- Problem Solving Skillsunmatched
- Python Programming/Scripting Languageunmatched
- Reporting Dashboardsunmatched
- SQL (Structured Query Language)unmatched
- Scala Programming Languageunmatched
- Scalable System Developmentunmatched
- Testingunmatched
Description
Primary & Secondary Skill SQL/Python/Data Engineer/AWS
Data Engineers who can build scalable, reliable data pipelines and infrastructure, requiring mastery in SQL, Python/Scala, cloud platforms (AWS), and big data technologies (Spark, Kafka, Hadoop).
Key skills include data modeling, ETL/ELT pipeline construction, data warehousing and orchestration tools like Airflow.
Strong problem-solving, collaboration, and data governance skills are crucial. Collect, process, and analyze large datasets to extract meaningful insights.
Design and conduct experiments to test hypotheses and validate data-driven solutions.
Collaborate with cross-functional teams to identify data needs and align strategies with organizational goals.
Create templates, dashboards and visualizations to communicate findings effectively to stakeholders.
Ensure data integrity and accuracy through cleaning, preprocessing, and validation techniques.
Optimize data collection and storage processes for efficiency and scalability. Knowledge on Manufacturing process is preferred
Data Engineers who can build scalable, reliable data pipelines and infrastructure, requiring mastery in SQL, Python/Scala, cloud platforms (AWS), and big data technologies (Spark, Kafka, Hadoop).
Key skills include data modeling, ETL/ELT pipeline construction, data warehousing and orchestration tools like Airflow.
Strong problem-solving, collaboration, and data governance skills are crucial. Collect, process, and analyze large datasets to extract meaningful insights.
Design and conduct experiments to test hypotheses and validate data-driven solutions.
Collaborate with cross-functional teams to identify data needs and align strategies with organizational goals.
Create templates, dashboards and visualizations to communicate findings effectively to stakeholders.
Ensure data integrity and accuracy through cleaning, preprocessing, and validation techniques.
Optimize data collection and storage processes for efficiency and scalability. Knowledge on Manufacturing process is preferred
Numbers & Facts
| Location | WestPoint, PA |
| Industry | Other/Not Classified |
| Company Size | 100 to 499 employees |
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