Senior Data Engineer Are you a talented senior data engineer looking for your Dream Developer Job? OfferZen working as a data engineer Hands-on, practical experience dealing with large amounts of data Experience Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience working in an English speaking environment working with SQL and NoSQL databases Experience with data pipeline and workflow management tools: Azkaban detail Strong analytical skills Ability to combine data from different sources Nice to have: Experience
Intermediate Data Engineer Are you a talented intermediate data engineer looking for your Dream Developer working as a data engineer Hands-on, practical experience dealing with large amounts of data Experience Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience working in an English speaking environment working with SQL and NoSQL databases Experience with data pipeline and workflow management tools: Azkaban detail Strong analytical skills Ability to combine data from different sources Nice to have: Experience
Reactive Maintenance · Manage the IWMS system. o Verify that within Engineering Compliance, systems and policies and procedures within Infrastructure. Verify all SLA are in place and extended or procured and operations. o Monitor and analyse equipment performance data to identify trends and proactively address maintenance
Reactive Maintenance · Manage the IWMS system. o Verify that within Engineering Compliance, systems and policies and procedures within Infrastructure. Verify all SLA are in place and extended or procured and operations. o Monitor and analyse equipment performance data to identify trends and proactively address maintenance
Testing Plan and conduct tests and evaluations to verify the equipment and system performance. Investigate
Testing Plan and conduct tests and evaluations to verify the equipment and system performance. Investigate
purchases · Examine expenses across all campuses to verify and ensure accurate transaction allocations Quarterly
purchases · Examine expenses across all campuses to verify and ensure accurate transaction allocations Quarterly
involve adjusting product placement based on sales data and customer feedback. Promotions and Pricing: Collaborate support to store staff. Sales Analysis: Analyze sales data and performance metrics to evaluate the effectiveness areas for improvement. Use insights gained from data analysis to make adjustments to merchandising plans
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