data engineer ( Work From Home)Yondu

Education: Bachelor's degree in Computer Science, Statistics, Mathematics, Business Management, and other related fields.
Work Experience: At least 2+ year of working experience in a related field, Data Management and Analysis. Experience in collecting, organizing, analyzing, and disseminating abundant information with accuracy.
Knowledge: Knowledgeable in the following:
Required Skills: AWS, Google BigQuery, Tableau/Power BI/AWS Quicksight, MSSQL, SQL
Advantage: D365, JIRA, Python, Project Management experience
Negotiable skills: StreamSets ETL, Google Cloud Platform
JOB OBJECTIVE: The Data Engineer is responsible for the design and implementation of data engineering, ingestion and curation functions on multi-cloud environments (AWS, Google Cloud, Azure).
RESPONSIBILITIES:
∙ Scope of Work: Support reporting requirements from data source prep, ingestion, designing visual reports to deployment and support.
∙ Task and Activity: AWS Data Lake, Data Operations, Project Support, Data Warehousing
- Additional Project Details and Responsibility;
-Maintenance and monitoring of existing AWS & Google BigQuery data pipelines
-Maintenance and monitoring of POS & OSS from Google BigQuery to Tableau data sources based on morning scheduled refresh
-Maintenance and monitoring of POS, OSS, SDS, & PDS from AWS S3 to AWS Redshift tables based on morning scheduled refresh
-Manual bi-weekly reprocessing of Month-To-Date (MTD) sales variances for Shakeys and Peri-Peri for current pipeline and Project Zen pipeline
-Creation of new or optimization of existing Google BigQuery views and/or tables based on data requests or data concerns from Tableau reports
-Collaboration with BI Developers and/or Data Governance regarding data requests/concerns or data policy
-QA support for AWS Project Analytics App