
CDP ETL
2 days ago
Responsibilities:
- ETL Development The CDP ETL & Database Engineer will be responsible for building pipelines to feed downstream data processes. They will be able to analyze data, interpret business requirements, and establish relationships between data sets. The ideal candidate will be familiar with different encoding formats and file layouts such as JSON and XML.
- Implementations & Onboarding Will work with the team to onboard new clients onto the ZMP/CDP+ platform. The candidate will solidify business requirements, perform ETL file validation, establish users, perform complex aggregations, and syndicate data across platforms. The hands-on engineer will take a test-driven approach towards development and will be able to document processes and workflows.
- Incremental Change Requests The CDP ETL & Database Engineer will be responsible for analyzing change requests and determining the best approach towards implementation and execution of the request. This requires the engineer to have a deep understanding of the platform's overall architecture. Change requests will be implemented and tested in a development environment to ensure their introduction will not negatively impact downstream processes.
- Change Data Management The candidate will adhere to change data management procedures and actively participate in CAB meetings where change requests will be presented and approved. Prior to introducing change, the engineer will ensure that processes are running in a development environment. The engineer will be asked to do peer-to-peer code reviews and solution reviews before production code deployment.
- Collaboration & Process Improvement The engineer will be asked to participate in knowledge share sessions where they will engage with peers, discuss solutions, best practices, overall approach, and process. The candidate will be able to look for opportunities to streamline processes with an eye towards building a repeatable model to reduce implementation duration.
Job Requirements:
- The CDP ETL & Database Engineer will be well versed in the following areas:
- Relational data modeling
- ETL and FTP concepts
- Advanced Analytics using SQL Functions
- Cloud technologies - AWS, Snowflake
- Able to decipher requirements, provide recommendations, and implement solutions within predefined timeframes.
- The ability to work independently, but at the same time, the individual will be called upon to contribute in a team setting.
- The engineer will be able to confidently communicate status, raise exceptions, and voice concerns to their direct manager.
- Participate in internal client project status meetings with the Solution/Delivery management teams.
- When required, collaborate with the Business Solutions Analyst (BSA) to solidify requirements.
- Ability to work in a fast paced, agile environment; the individual will be able to work with a sense of urgency when escalated issues arise.
- Strong communication and interpersonal skills, ability to multitask and prioritize workload based on client demand.
- Familiarity with Jira for workflow mgmt., and time allocation.
- Familiarity with Scrum framework, backlog, planning, sprints, story points, retrospectives etc.
Required Skills:
ETL ETL tools such as
- Talend (Preferred, not required)
- DMExpress Nice to have
- Informatica Nice to have
- Database - Hands on experience with the following database Technologies
- Snowflake (Required)
- MYSQL/PostgreSQL Nice to have
- Familiar with NOSQL DB methodologies (Nice to have)
- Programming Languages Can demonstrate knowledge of any of the following.
- PLSQL
- JavaScript Strong Plus
- Python - Strong Plus
- Scala - Nice to have
- AWS Knowledge of the following AWS services:
- S3
- EMR (Concepts)
- EC2 (Concepts)
- Systems Manager / Parameter Store
- Understands JSON Data structures, key value pair.
- Working knowledge of Code Repositories such as GIT, Win CVS, SVN.
- Workflow management tools such as Apache Airflow, Kafka, Automic/Appworx
- Jira
Minimum Qualifications
- Bachelor's degree or equivalent
- 2-4 Years' experience
- Excellent verbal & written communications skills
- Self-Starter, highly motivated
- Analytical mindset
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