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REMOTE : Databricks Platform Admin - 9 Months contract at Remote, Remote, USA
Email: [email protected]
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https://jobs.nvoids.com/job_details.jsp?id=865246&uid=

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Title - Databricks Platform Admin

Duration - 9+ Months

Location Remote with travel on
need basis

Responsibilities
:

Must have skills -
Terraform, Python, Databricks
platform administration, Unity Catalog, Azure (platform experience),
Integration/configuration experience of databricks with Github, Jenkins and
reporting tools such as Tableau, Security, and governance of databricks
platform.

As a Senior Databricks Platform Engineer, you will have the
opportunity to build Databricks platform from the ground up. You'll be putting
your Databricks knowledge and experience to work as you collaborate with teams
of Data Engineers, Data Scientists, and Analysts to build a world-class data
platform. You will lead the Databricks platform to deliver services for
projects and users, including tracking Databricks roadmap for new features and
evaluating public/private preview offerings for future use.

What youll do as a Senior Databricks Platform Engineer

Automate and manage
provisioning needs, such as Databricks Cluster Policies, Unity Catalog,
Secrets Management, Role Based Access Control model and permissions.

Tune Databricks for
performance and utilization optimization.

Provide infrastructure
guidance of Databricks capabilities to accommodate business/technical use
cases.

Leverage your strong
communication skills to keep users informed and provide excellent quality
of service.

Monitor and manage data
and processes to control cost and optimize compute spend.

Configure and manage
monitoring/alerting around latency performance on the Databricks platform
including Delta Live Tables and Databricks Workflows.

Coordinate and
collaborate with dependent infrastructure and Azure services to implement
Databricks integration with services, such as ADLS, Access Management,
SSO.

Support CICD processes
including Jenkins/GITHUB.

Plan, implement and test
disaster recovery protocols.

Define standards and
practices for platform use, with a focus on Data Engineering use cases.

Provide technical
expertise and troubleshooting as well as support for change management,
governance. compliance, internal audits and remediations.

What youll bring

A proven track record of
administration, engineering, and operationalizing the Databricks platform
in a production mode at scale for Data Engineering, Data Science or MLOps
use cases.

Experience working in
Azure.

Strong experience with
infrastructure as code technologies (eg Terraform).

Strong experience with
Python.

Experience with
integrating other platforms like Snowflake, Tableau, MongoDB with
Databricks.

Experience with
streaming use cases and Databricks streaming technologies including Delta
Live Tables.

The ability to leverage
new technologies to test, build, and optimize data platform processes,
pipelines, transformations, architectures, and data sets.

Expert level SQL
knowledge in a variety of data engines (for example, Snowflake, MySQL,
CosmosDB, SQL Server) is a big plus.

Excellent communications
skills and interpersonal skills to effectively communicate and collaborate
with both business and technical teams.

Experience with data
logging/monitoring tools (e.g., Datadog, Splunk) is preferred.

Experience with MLFlow
is a plus.

Thanks,

Shyam

[email protected]

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Keywords: information technology
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03:23 AM 17-Nov-23


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