Regional Data Engineer RS-KP
4 months ago
their supply chains through our order management + sea transportation management solutions. Develop tools to streamline daily operations, such as building data pipelines that ingest data from sources, summarize it and connect it to applications. Also, develop and maintain processes, perform Data Analytic, Data Visualization and Dashboard Building and Ad-hoc analysis from management. Your Responsibilities
- Develop tools to streamline daily operations, such as building data pipelines that ingest data from sources, summarize it and connect it to applications
- Perform Data Analytic, Data Visualization, Dashboard Building, and Ad-hoc analysis from management
- To maintain, drive + continuously improve our strategy for extracting, gathering, cleaning, transforming, organizing, storing + managing data
- To define target audiences, data collection objectives + tracking plans as per business requirements
- To determine, simplify + refine the core set of data points, events + properties, establishing clear approval processes for events to be added/removed/updated
- To develop + maintain operational definitions + procedures to govern data availability, validity, accuracy, completeness, consistency + uniformity and build, deploy + maintain data support tools
- To govern + supervise the execution of data collection, cleaning, transformation + organization, along with diagnosing data quality issues with automated reports + alerts
- To engage with business owners + end users to understand, specify + drive changes to processes, systems + hardware required to enable our data strategy
- To continuously simplify, integrate + automate processes to improve data quality as well as availability against the lowest possible cost
- Professional education or degree in Computer Science, Computer Engineering, Information Engineering, or Information Technology
- At least 3 years of Software Engineering/Development experience and ETL processes
- At least 3 years experience in Python (pandas , regex, good to have: streamlit, tkinter) is a must
- At least 2 years experience in SQL (data validation, data modeling, database maintenance) is a must
- Basic understanding and interest in Tableau
- Python Orchestrators (luigi,Prefect), Oracle / SQLite experience is a plus
- Knowledge, skill and experiences on SAP Business Object is an advantage; Logistic knowledge and experience is an advantage but not essential
- Good communication skill and can work independently under moderate pressure
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