Job Description
Responsibilities:
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Operate and manage modern data platforms - from streaming to data lakes to analytics and beyond across a progressively evolving technical stack.
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Demonstrate clear ownership of multiple simultaneous customer accounts across a variety of technical stacks and act as a technical leader.
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Proactively identify and articulate best practices and improvements to customers on how to best leverage their Cloud Data Platform.
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Skillfully navigate complex customer environments and build Epics Stories and Tasks in order to mature and improve our customerβs data platform.Β Delegate to and coach Engineers and ensure successful and timely delivery of these Epics.
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Provide thought leadership by recommending the right technologies and approaches to maturing and solving problems to help ensure performance security scalability and user satisfaction.
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Continually hunt for ways to automate and optimize existing processes.
Required Experience:
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Strong working knowledge of SQL and the ability to write debug and optimize SQL queries.
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Extensive experience in providing architectural guidance and operational support across a large user base for a cloud-native data warehouse (Snowflake and/or Redshift).
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Expertise with cloud-native data technologies in AWS or Azure.
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Proven experience learning new technology stacks and training team members.
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Professional track record of creating challenging and improving processes and procedures.
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Strong troubleshooting and performance tuning skills.
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Client-facing written and verbal communication skills and experience.
Preferred Experience:
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Production experience and certifications in core data platforms such as Snowflake AWS Azure GCP Hadoop or Databricks.
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Production experience working with Cloud and Distributed Data Storage technologies such as S3 ADLS HDFS GCS Kudu ElasticSearch/Solr Cassandra or other NoSQL storage systems.
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Production experience working with Data integration technologies such as Spark Kafka event/streaming Streamsets Matillion Fivetran HVR NiFi AWS Data Migration Services Azure DataFactory or others.
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Production experience working with Workflow Management and Orchestration such as Airflow AWS Managed Airflow Luigi NiFi.
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Working experience with infrastructure as code using Terraform or Cloud Formation.
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Strong expertise of scripting language to automate repetitive tasks (preferred Python).
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Well versed with continuous integration and deployment frameworks with hands-on experience using CI/CD tools like Bitbucket Github Flyway Liquibase.
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Bachelor's degree in Computer Science or a related field
Perks and Benefits
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Medical Insurance for Self & Family
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Medical Insurance for Parents
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Term Life & Personal Accident
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Wellness Allowance
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Broadband Reimbursement
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Professional Development Allowance
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Reimbursement of Skill Upgrade Certifications
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Certification Bonus
#LI-DNI
Date Posted
08/25/2024
Views
6
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