Cloud Data Engineer
3 weeks ago
We are seeking a Cloud Data Engineer with experience in
developing and analyzing complex SQL on a variety of RDBMS (Microsoft SQL Server, Oracle) along with Expert knowledge of data modeling, ETL(Informatica) and AWS Cloud Data Warehousing
Technologies
for our direct client.
Must be a US Citizen or a Green Card holder.
Job Description:
Designs, develops, modifies, tests, and automates the data warehouse and business intelligence applications solutions. This includes design, development, architecture recommendations, quality management, metadata and repository creation, trouble-shooting problems, and tuning warehouse applications.
Develops transition and implementation plans. Recommends changes in development, maintenance, and standards.
Advanced analytical ability and technical skill as well as the ability to provide innovative solutions to technical needs and business requirements.
Ability to exercise independent judgment in making complex business decisions.
Acute attention to detail with a high level of data integrity and accuracy
Excellent oral and written communication, with interpersonal skills to work with people at all levels of the organization.
Ability to translate highly technical information into non-technical terms.
Excellent computer skills including Microsoft Office along with various other software applications as needed for the role.
Broad knowledge of the programming tools, concepts, practices, and principles including design, implementation, and testing
Position requires continuous visual concentration and manual dexterity to operate PC
Requires prolonged sitting and minimal standing/walking.
May require on-call status.
Rare domestic travel including overnight stays may be necessary.
Responsibilities
Contributes to the design, development, testing, implementation, and review of complex data warehouse and business intelligence solutions.
Develops all or part of complex data warehouse applications, develops software from established requirements, builds reports and dashboards, plans and coordinates work with fellow programmers to meet delivery commitments, creates prototypes; offers insight on the feasibility of system designs.
Contributes to the design of technology infrastructure and configurations, recommends process improvements.
Reviews complex patches and new versions of data warehouse applications. Implements complex software packages and deploys code.
Key participant in cross-functional team initiatives and process improvement projects
Qualifications:
Bachelor’s degree in computer science, Information Systems, or another related field
Expert in developing and analyzing complex SQL on a variety of RDBMS (Microsoft SQL Server, Oracle).
At least 5 to 9+ years of experience in data engineering, data science, and software engineering.
Expert knowledge of data modeling and understanding of different data structures and their benefits and limitations under particular use cases
E xperience with ETL tools (Informatica)
Ability to create quality ERD’s (entity-relationship diagrams)
Excellent writing skills for writing user and system documentation
AWS Cloud Data Warehousing Technologies
o
Experience using core AWS services to build and support data warehouse solutions leveraging AWS architecture best practices (S3, DMS, Glue, Lambda)
o Development/modeling experience with Amazon Redshift
o
Experience using the AWS service APIs, AWS CLI, and SDKs to build applications.
o Proficiency in developing, deploying, and debugging cloud-based applications using AWS.
o Ability to use a CI/CD pipeline to deploy applications on AWS (GitLab, Terraform, DBMaestro)
o Ability to apply a basic understanding of cloud-native applications to write code.
o Proficiency writing code for serverless applications.
o
Ability to write code using AWS security best practices (e.g., not using secret and access keys in the code, instead using IAM roles)
o Ability to author, maintain, and debug code modules on AWS.
Experience with visualization tools (Tableau)
Experience creating scripts with Python.
Experience working on an Agile team.
Understanding of application lifecycle management
Understanding of the use of containers in the development process
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