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ITIL, ServiceNow); Designing and developing large-scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker, Cloud IAM, etc.
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In-depth knowledge of and the ability to perform advanced troubleshooting on macOS, Chrome OS, Windows 10, and SaaS applications (Okta, Google Workspaces, Slack, Zoom, O365) Founded by the original creators of Apache Spark, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the worlds toughest problems.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Experience with other Data platforms like DBT, Snowflake, DeltaLake, etc. 3+ years of experience working on Spark (RDDs / Data Frames / Dataset API) using Scala/Python to build and maintain complex ETL pipelines.
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Computer skills involve survey data management using Trimble or Android devices. Experience with Microsoft Excel, Microsoft Access, Google Earth and IT a plus. Licensure as a Professional Land Surveyor (PLS) in North Carolina and/or South Carolina (SC preferred.
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Experience implementing and maintaining data platform core services (data lake, data integration, data warehouse) and configuring and integrating infrastructure and PAAS (e.g., Azure Data factory, Informatica cloud services, Databricks, Data gateway and Qlik Sense, Power BI.
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At least two years experience in implementing, automating and integrating Big Data infrastructure resources like S3, Redshift, Aurora, Kinesis, Kafka, EMR, Lambda, SNS, Azure Blob Storage Account ,SQL Data Warehouse, Microsoft Event Hubs , HDInsights, Azure Databricks, Azure Functions,Event Grid, Data Lake Analytics in an ephemeral/transient and in an elastic manner.
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Familiarity with working with data and databases (SQL, MySQL, PostgreSQL, Amazon Aurora, Redis, Amazon Redshift, Google BigQuery). Annalect is the driving force behind Omni, Omnicom’s unique open operating system, which works hand-in-hand with clients’ and partners’ data and tools, to orchestrate better marketing outcomes.
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Strong Networking Fundamentals along with Converged Infra (CI)/Hyper Converged Infa (HCI) Management Certification along with hands-on experience with Amazon Kubernetes Service (AKS), Amazon EKS, Google Kubernetes Engine (GKE), Rancher.
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Developing data journalism study content with mentorship and support from our data journalist. You’ll work closely with our Communications team to build awareness and reputation for the Jerry brand, primarily through media relations and data journalism.
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Assist with periodic testing of disaster preparedness for the Azure Cloud Platform, TN and TX FHN Data Centers. Knowledge of: advanced level administrative knowledge of Microsoft Active Directory, Azure Active Directory, and hybrid identities; and familiarity with creating and tuning data loss prevention policies and data classification policies.
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Define and document standards, best practices, and procedures (SOPs) for IaaS, PaaS, and SaaS (via IaC) on Google Cloud Platform that align with established tool stack and architecture standards.
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Experience or exposure in build and CICD technologies: GitHub, BitBucket, Azure DevOps, Maven, Jenkins, Nexus or Sonar Exposure to Agile development concepts Exposure quality assurance technologies: ATDD, Selenium, Cucumber, JUnit, NUnit, SoapUI or Postman Exposure of data management methodologies Exposure to serverless architectures and computing concepts Compensation Starting base salary: $92,114 - $156,880 per year.
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Knowledge of databases, data warehouse platforms (Snowflake) and Cloud based tools. Two or more years of relevant experience in Data Engineering, ETL Development, Database Administration.
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What you’ll do:Utilize your knowledge of SQL, particularly with BigQuery and Google Cloud Platform, to manage and analyze large datasets relevant to People functions. Reporting to our head of people analytics, the ideal candidate will bring a strategic and analytical approach to HR-related functions, supporting data-driven decision-making processes.
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