J&M Group, Inc -
259 emplois
Halifax, NS
Posté hier
Détails de l'emploi :
Temps plein
Niveau d`entrée
• Engage and partner with data virtualization CTB, RTB, Dremio Vendor, and client applications.
• Analyze and resolve production and non-production issues, analyze product logs and find RCA.
• Identify repetitive issues, raise problem tickets and work upon tactical/strategy fixes.
• Dremio version upgrade in all non-prod instances (standalone as well as containerized)
• Enhancements in data virtualization services (written in python)
• Identify and resolve system vulnerabilities.
• Identify opportunities to automate manual work.
• Identify long running queries and tune the same.
• Partner with the platform engineering teams to ensure technical capabilities and data requirements are well understood, identify dependencies and integration points.
• Work with upstream to onboard new datasets, perform validations to confirm if client's ask is complaint with DV's guidelines.
• Able to derive insights from Grafana telemetries, monitor cluster's health, automate SOW/SOD/EOD checks.
• Participate in vendor calls, sprint ceremonies, reviews, or inspections, in collaboration with the project team, to ensure the quality of the deliverables.
• Participate in the user acceptance testing, implementation planning, post implementation validations and L3 production incident analysis as needed.
• Strong knowledge of Data Fabric, Data Virtualization concepts & containers
• 8+ years of experience in Dremio, Data virtualization product, running Dremio in K8 containers
• Ability to work independently, apply critical and strategic thinking to issues, and manage deadlines while multi-tasking amongst different priorities.
• 8+ years of experience working as a Developer / L3 in Data engineering field, handling large data volume.
• Proven experience in Lake, databases (big data, nosql, rdbms), SQL, query tuning, able to read & analyze query execution plans, debug application/server logs, assist team in analyzing the issues.
• Understanding of different infrastructures (physical servers, containers, virtual machines, cloud)
• Strong tech expertise – Dremio, Python, SQL, RestAPI, Hive/HDFS, Kubernetes, Helm chart, Linux and data formats e.g. Iceberg, Delta format, Parquet, Avro, JSON
• Knowledge of containers, kubernetese, pods, nodes, PV/PVC, Load balancer, helm deployment
• Knowledge of application security, vault, SSL, TSL, secrets, connectivity channels - JDBC, ODBC, Arrowflight
• Knowledge of different Storage classes – S3, NAS, Trident, SSDs
• Understanding of Azure cloud, ADLS, Shipment pipeline would be plus
• Analyze and resolve production and non-production issues, analyze product logs and find RCA.
• Identify repetitive issues, raise problem tickets and work upon tactical/strategy fixes.
• Dremio version upgrade in all non-prod instances (standalone as well as containerized)
• Enhancements in data virtualization services (written in python)
• Identify and resolve system vulnerabilities.
• Identify opportunities to automate manual work.
• Identify long running queries and tune the same.
• Partner with the platform engineering teams to ensure technical capabilities and data requirements are well understood, identify dependencies and integration points.
• Work with upstream to onboard new datasets, perform validations to confirm if client's ask is complaint with DV's guidelines.
• Able to derive insights from Grafana telemetries, monitor cluster's health, automate SOW/SOD/EOD checks.
• Participate in vendor calls, sprint ceremonies, reviews, or inspections, in collaboration with the project team, to ensure the quality of the deliverables.
• Participate in the user acceptance testing, implementation planning, post implementation validations and L3 production incident analysis as needed.
• Strong knowledge of Data Fabric, Data Virtualization concepts & containers
• 8+ years of experience in Dremio, Data virtualization product, running Dremio in K8 containers
• Ability to work independently, apply critical and strategic thinking to issues, and manage deadlines while multi-tasking amongst different priorities.
• 8+ years of experience working as a Developer / L3 in Data engineering field, handling large data volume.
• Proven experience in Lake, databases (big data, nosql, rdbms), SQL, query tuning, able to read & analyze query execution plans, debug application/server logs, assist team in analyzing the issues.
• Understanding of different infrastructures (physical servers, containers, virtual machines, cloud)
• Strong tech expertise – Dremio, Python, SQL, RestAPI, Hive/HDFS, Kubernetes, Helm chart, Linux and data formats e.g. Iceberg, Delta format, Parquet, Avro, JSON
• Knowledge of containers, kubernetese, pods, nodes, PV/PVC, Load balancer, helm deployment
• Knowledge of application security, vault, SSL, TSL, secrets, connectivity channels - JDBC, ODBC, Arrowflight
• Knowledge of different Storage classes – S3, NAS, Trident, SSDs
• Understanding of Azure cloud, ADLS, Shipment pipeline would be plus
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