Analyze and organize raw data, build data systems and pipelines, and enhance data quality while developing analytical tools to support business objectives.
Job Description
Analyze and organize raw data
Build data systems and pipelines
Evaluate business needs and objectives
Combine raw information from different sources
Explore ways to enhance data quality and reliability
Identify opportunities for data acquisition
Develop analytical tools and programs
Requirements
Requirements:
Proven experience as Data Engineer with at least 3 Years professional work experience
Strong proficiency in at least one SQL Development (Oracle, MS SQL, or similar technologies) and ETL Development Tools (Informatica, Talend or similar technologies)
Knowledge in Shell Scripting, Hadoop Platform, Big Data
Familiarity with Agile and DevOps methodologies
Preferred Qualifications:
Familiarity with Data Modeling and Design
Familiarity with Python/R and AWS Service (Redshift)
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