Cloud AWS Engineer / Databricks Cloud Data Engineer

Overview

Remote
On Site
Hybrid
BASED ON EXPERIENCE
Full Time
Contract - Independent
Contract - W2

Skills

no skills

Job Details

Qualifications:

* Demonstrates mutual respect, embraces diversity, and acts with authenticity

* Bachelor s degree in Computer Science, Management Information Systems, Computer Engineering, or related field or equivalent work experience; advance degree preferred

* Seven or more years of experience in designing and building large-scale solutions in an enterprise setting in both

* Three years in designing and building solutions in the cloud

* Expertise in building and managing Cloud databases such as AWS RDS, DynamoDB, DocumentDB or analogous architectures

* Expertise in building Cloud Database Management Systems in Databricks Lakehouse or analogous architectures

* Expertise in Cloud Data Warehouses in Redshift, BigQuery or analogous architectures 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, 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 other Big Data query and transformation experience 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 able 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, areas for improvement, and prescribe architectural recommendations with a focus 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 both development and deployment of data workloads ranging from Tableau reports to ad hoc analyses.

* Own and develop architecture supporting the translation of analytical questions into effective reports that drive business action.

* Automate and optimize existing data processing workloads by recognizing patterns of data and technology usage and implementing solutions.

* Solid grasp of the intersection between analytics and engineering while maintaining a proactive approach to assure solutions demonstrate high levels of performance, privacy, security, scalability, and reliability upon deployment.

* Provide guidance to partners on 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 automation services for builds using Terraform, Python, and OS shell scripts.

* Develop validation and certification process 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 and perform POCs (proofs of concept) with emerging technologies and adopt industry best practices in the data space for advancing 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.