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DATA ENGINEER

Summary

Builds and maintains data pipelines, analyzes raw data, and develops ETL processes to support predictive modeling and business insights using Python, Java, and SQL.

Roles & Responsibilities

Job Description & Requirements Responsibilities Analyze and organize raw data Build data systems and pipelines Evaluate business needs and objectives Interpret trends and patterns Conduct complex data analysis and report on results Prepare data for prescriptive and predictive modeling Build algorithms and prototypes Combine raw information from different sources Explore ways to enhance data quality and reliability Identify opportunities for data acquisition Develop analytical tools and programs Collaborate with data scientists and architects on several projects Requirements and skills Previous experience as a data engineer or in a similar role Technical expertise with data models, data mining, and segmentation techniques Knowledge of programming languages (e.g. Java and Python) Hands-on experience with SQL database design Great numerical and analytical skills Degree in Computer Science, IT, or similar field; a Master’s is a plus Data engineering certification (e.g IBM Certified Data Engineer) is a plus APPLIED PHYSICS IS REQUIRED. 2. SKILLS Data Analysis Analytical Skills Pipelines Segmentation Hadoop Architects ETL Data Quality Reliability Data Engineering Data Mining SQL Predictive Modeling Python Database Design Java

Tell employers what skills you have Data Analysis Analytical Skills Pipelines Segmentation Architect ETL Data Engineering Data Mining SQL Predictive Modeling Python Database Design Java

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