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AWS Databricks Cloud Engineer

3 months ago

Princeton, United States Cyrten Full time

AWS Databricks Cloud Engineer - Remote

Location: Remote

Preferred Time Zones: EST, CST, MTN

Rate Type: W2

Length: 1 to 3 years

Health Benefits: Available to participate in Cyrten’s Health Benefits program after 90 Days

401K: Available to join Cyrten’s 401k program after 1,000 hours of work

Manager Note: Top 3-5 skills

Databricks experience Sql background, write simple code ETL, Informatica, Talend, Hadoop, Kafka Onboarding and platform enablement Experience with data analytics in a cloud environment

Qualifications

Bachelor’s degree in Computer Science, Management Information Systems, Computer Engineering, or related field or equivalent work experience; advanced degree preferred 5+ years of experience in designing and building large-scale solutions in an enterprise setting in both design and deployment 3+ years in designing and building solutions in the cloud Experience building and managing Cloud databases such as AWS RDS, DynamoDB, DocumentDB, or analogous architectures Experience building Cloud Database Management Systems in Databricks Lakehouse or analogous architectures Experience in Cloud Data Warehouses in Redshift, BigQuery, or analogous architectures is a plus Deep SQL expertise, data modeling, and experience with data governance in relational databases Experience with the practical application of data warehousing concepts, methodologies, and frameworks using traditional (Vertica, Teradata, etc.) and current (SparkSQL, Hadoop, Kafka) distributed technologies Refined skills using one or more scripting languages (e.g., Python, bash, etc.) Experience using ETL/ELT tools and technologies such as Talend, and Informatica a plus Embrace data platform thinking, design and develop data pipelines keeping security, scale, uptime and reliability in mind Expertise in relational and dimensional data modeling UNIX admin and general server administration experience required Presto, Hive, SparkSQL, Cassandra, or Solr, and other Big Data query and transformation experiences a plus Experience using Spark, Kafka, Hadoop, or similar distributed data technologies a plus Able to expertly express the benefits and constraints of technology solutions to technology partners, business partners, and team members Experience with leveraging CI/CD pipelines Experience with Agile methodologies and ability to work in an Agile manner is preferred One or more cloud certifications

Responsibilities

Understand technology vision and strategic direction of business needs Understand our current data model and infrastructure, proactively identify gaps and areas for improvement, and prescribe architectural recommendations focusing on performance and accessibility. Partner across engineering teams to design, build, and support the next generation of our analytics systems. Partner with business and analytics teams to understand specific requirements for data systems to support the development and deployment of data workloads ranging from Tableau reports to ad hoc analyses. Own and develop architecture supporting translating analytical questions into effective reports that drive business action. Automate and optimize existing data processing workloads by recognizing data and technology usage patterns and implementing solutions. Solid grasp of the intersection between analytics and engineering while maintaining a proactive approach to ensure solutions demonstrate high-performance levels, privacy, security, scalability, and reliability upon deployment. Provide guidance to partners on the effective use of the database management systems (DBMS) platform through collaboration, documentation, and associated standard methodologies. Design and build end-to-end automation to support and maintain software currency Create build automation services using Terraform, Python, and OS shell scripts. Develop validation and certification processes through automation tools Design integrated solutions in alignment with design patterns, blueprints, guidelines, and standard methodologies for products Participate in developing solutions by incorporating cloud native and 3rd party vendor products Participate in research, perform POCs (proofs of concept) with emerging technologies, and adopt industry best practices in the data space to advance the cloud data platform. Develop data streaming, migration, and replication solutions Demonstrate leadership, collaboration, exceptional communication, negotiation, strategic, and influencing skills to gain consensus and produce the best solutions.

Please Note

This role is for a US Government office. US Citizenship is required to pass security background check

NO 3rd Party Candidates

NO 3rd Party Vendors

NO Sponsorship

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