DB Team Data Engineer
3 weeks ago
Job Description:
We are seeking a Data Engineer for a very important client
Job responsibilities
- Execute software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
- Write secure and high-quality code and maintains algorithms that run synchronously with appropriate systems.
- Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development.
- Apply knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation.
- Apply technical troubleshooting to break down solutions and solve technical problems of basic complexity.
- Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems.
- Proactively identify hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture.
- Contribute to software engineering communities of practice and events that explore new and emerging technologies.
- Add to team culture of diversity, equity, inclusion, and respect.
Required qualifications, capabilities, and skills.
- 4 to 7 years of Spark on Cloud development experience
- 4 to 7 years of strong
SQLskills; Teradata is preference but experience in any other RDBMS - Proven experience in understanding requirement related to extraction, transformation, and loading (ETL) of data using Spark on Cloud
- Formal training or certification on software engineering concepts and 3+ years applied experience.
- Ability to independently design, build, test, and deploy code Should be able to lead by example and guide the team with his/her technical expertise.
- Ability to identify risks/issues for the project and manage them accordingly.
- Hands-on development experience and in-depth knowledge of Java/Python, Microservices, Containers/Kubernetes, Spark, and SQL.
- Hands-on practical experience in system design, application development, testing, and operational stability
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages.
- Proficient in coding in one or more programming languages
- Experience across the whole Software Development Life Cycle
- Proven understanding of agile methodologies such as CI/CD, Applicant Resiliency, and Security
- Proven knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Knowledge about Data warehousing Concepts.
- Experience with Agile based project methodology.
- Ability to identify risks/issues for the project and manage them accordingly.
- Knowledge or experience on ETL technologies like Informatica or Ab-initio would be preferable
- People management skills would be given preference but is not mandatory.
- teradata, DBMS knowledge
- Cloud knowledge
- AWS preferably
- ETL knowledge
- CICD and data warehouse concept
- Java & Spark
- Abinitio
- python
Required
Datamart
Intermediate 7-8
postgresql
Intermediate 7-8
Data Warehousing Expert 9-10
Preferred
SQL
Intermediate 7-8
ETL Tools
Intermediate 7-8
#PandoPandoLogic
Keywords:
Data Engineer, Location:
COLUMBUS, OH
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