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Responsibilities
• Design, implement and manage end to end data pipelines (ETL, data streaming and data warehousing) to make data easily accessible for analysis.
• Design end to end ETL as per-use cases and business requirements
• Ensure high data quality and integrity from data sources.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues
Qualifications
• Bachelor degree in Computer Science, or IT related fields
• 2 years of Data Engineering, ETL developer or a related field
• Experience using Talend, Python, Informatica PowerCenter
• Experience using SSIS, SSAS, SSRS, PySpark, Airflow, Cloud Platform
• Understanding Linux and docker is a plus
• Communication skills, especially explaining technical concepts to non-technical business leaders.
• Exposure in Datalake, Kafka, Tableau, Power BI
• Design, implement and manage end to end data pipelines (ETL, data streaming and data warehousing) to make data easily accessible for analysis.
• Design end to end ETL as per-use cases and business requirements
• Ensure high data quality and integrity from data sources.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues
Qualifications
• Bachelor degree in Computer Science, or IT related fields
• 2 years of Data Engineering, ETL developer or a related field
• Experience using Talend, Python, Informatica PowerCenter
• Experience using SSIS, SSAS, SSRS, PySpark, Airflow, Cloud Platform
• Understanding Linux and docker is a plus
• Communication skills, especially explaining technical concepts to non-technical business leaders.
• Exposure in Datalake, Kafka, Tableau, Power BI
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