Data Engineer

Found in: beBee S EG - 2 weeks ago


Egypt Algoriza Full time
Job Description

.ETL Pipelines and Tools: Design, develop, and maintain ETL pipelines .using industry-leading tools such as Informatica and Denodo. 

.Data Integrations: Collaborate with cross-functional teams to ensure seamless integration of data from various sources while maintaining data integrity. 

.Advanced SQL Skills: Proficient in SQL, with the ability to optimize complex queries for improved performance. 

.Inferential Statistics: Apply statistical techniques to derive meaningful insights and support data-driven decision-making. 

.Big Data Processing: Demonstrate expertise in big data processing techniques, staying updated on the latest advancements. 

.Feature Engineering: Develop and implement strategies for feature engineering to enhance data quality and relevance. 

.Data Quality Evaluation: Establish processes for evaluating and ensuring data quality, implementing measures to identify and rectify anomalies. 

.Data Migration: Manage data migration projects, ensuring smooth transitions and minimal disruption to ongoing operations. 

.BI Tools (Tableau): Utilize Tableau and other BI tools to create insightful visualizations and reports for stakeholders. 

.Data Warehousing and Data Lake: Strong background in Data Warehousing and Data Lake technologies, including Cloudera and Hive.

Job Requirements

.Bachelor's degree in Computer Science, Information Technology, or a related field. 

.Proven experience as a Data Engineer with a focus on ETL pipelines, SQL optimization, and data integration. .Familiarity with inferential statistics, big data processing, and feature engineering. 

.Proficient in BI tools, especially Tableau. 

.Strong background in Data Warehousing and Data Lake technologies, including Cloudera and Hive. 

.Excellent problem-solving and communication skills.


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