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Data Engineer at Qode.World | JobVerse
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Data Engineer
Qode.World
Website
LinkedIn
Data Engineer
United States
Full Time
2 weeks ago
No H1B
Apply Now
Key skills
AWS
Azure
Cloud
ETL
Google Cloud Platform
Python
SQL
R
Data Engineering
Data Warehousing
Analytics
Data Mining
GCP
Google Cloud
Communication
Collaboration
About this role
Role Overview
Analyzing and organizing raw data to identify trends and patterns.
Developing and maintaining robust and scalable datasets for various analytical purposes.
Improving data quality and efficiency through data cleansing and validation techniques.
Building and maintaining data systems and pipelines to ensure seamless data flow.
Evaluating business needs and objectives to align data engineering efforts with strategic goals.
Interpreting trends and patterns in data to provide actionable insights.
Conducting complex data analysis and reporting on results to stakeholders.
Preparing data for prescriptive and predictive modeling to support advanced analytics.
Building algorithms and prototypes to explore new data-driven solutions.
Combining raw information from different sources to create consistent, machine-readable formats.
Exploring ways to enhance data quality and reliability through innovative techniques.
Identifying opportunities for data acquisition to expand the scope of available data.
Developing analytical tools and programs to empower data users.
Collaborating with data scientists and architects on various projects to deliver comprehensive data solutions.
Requirements
Technical expertise with data models, data mining, and segmentation techniques.
Strong analytical and problem-solving skills with the ability to work with complex datasets.
Hands-on experience with SQL database design and optimization.
Proficiency in programming languages such as R and Python for data manipulation and analysis.
Bachelor’s Degree in Computer Science, IT, or a related field.
Highly motivated with a strong sense of ownership and accountability.
Quick learner with a positive attitude and a willingness to embrace new technologies.
Genuine team player with excellent communication and collaboration skills.
Ability to communicate effectively with both technical and non-technical audiences.
Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) is a plus. (Inferred)
Familiarity with data warehousing concepts and ETL processes. (Inferred)
Tech Stack
AWS
Azure
Cloud
ETL
Google Cloud Platform
Python
SQL
Apply Now
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