Data Engineer

1 month ago

Morristown, United States RIT Solutions, Inc. Full time
Job Title: Data Engineer
Location: Columbus, OH (Hybrid)
Duration: 6 months contract to Hire

Job Description:
Supplier notes:
data pipeline
Java Spark
must have- TerraData and database knowledge.
AWS, ETL are preferred.
informatica or abinito
CI/CD and data warehouse concept
Java/ Spark must
Snowflake knowldge

MUST have
- teradata, DBMS knowledge
- Cloud knowledge - AWS preferably
- ETL knowledge
- CICD and data warehouse concept
- Java & Spark

NICE To Have
- Abinitio
- postgres DB knowledge
- python

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 SQL skills; 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.)

Preferred qualifications, capabilities, and skills
• 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.

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