We seek a Cloud Data Engineer with experience in developing and analyzing complex SQL on various RDBMS (Microsoft SQL Server, Oracle) and Expert knowledge of data modeling, ETL(Informatica), and AWS Cloud Data Warehousing technologies for our direct client.
Responsibilities
- Contributes to designing, developing, testing, implementing, and reviewing 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; and offers insight on the feasibility of system designs.
- 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, troubleshooting 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.
- Contributes to the design of technology infrastructure and configurations, and 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 various RDBMS (Microsoft SQL Server, Oracle).
- 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.
- Experience with Business Objects, ETL tools (Informatica).
- Experience using core AWS services to build and support data warehouse solutions leveraging AWS architecture best practices (S3, DMS, Glue, Lambda).
- Development/modeling experience with Amazon Redshift.
- Proficiency in developing, deploying, and debugging cloud-based applications using AWS.
- Ability to use a CI/CD pipeline to deploy applications on AWS (GitLab, Terraform, DBMaestro)
- Ability to apply a basic understanding of cloud-native applications to write code.
- Experience with visualization tools (Tableau).
- Experience creating scripts with Python.
- Experience working on an Agile team.