Analytics - Snowflake Datawarehouse (Junior Role)
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Job Title: Analytics - Snowflake Datawarehouse (Junior Role)
Location: Wilmington, DE
Location: Wilmington, DE
Job responsibilities:
- Executes software solutions, design, development. and technical troubleshooting with ability to think beyond routine of conventional approaches to build solutions or break down technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design
- constraints are met by software code development
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse datasets in service of
- continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging technologies.
- 'Adds to team culture of diversity. equity inclusion. and respect
Required qualifications, capabilities, and skills:
- Formal taining or certification on software engineering concepts and 3+ years applied experience
- Hands-on practical experience in system design, application development, testing, and operational stability
- Hands-on experience building data pipelines on AWS using Lambda, SQS, SNS, Athena, Glue, EMR Hands-on experience Data warehouse
- Proficient in coding in one or more languages
- Experience in developing. debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Overall knowledge ofthe Software Development Life Cycle
- Solid understanding of agile methodologies such as CI/CD. Applicant Resiliency, and Security
- Demonstrated knowledge of software applications and technical processes within a technical discipline (eg. cloud,artificial intelligence, machine learning, mobile, etc)
Preferred qualifications, eapabilities, and skills:
- Hands-on experience building data pipelines on AWS using Lambda, SQS, SNS, Athena, Glue, EMR
- Strong experience with distributed computing frameworks such as Apache Spark specifically Java Spark
- Strong hands-on experience building event driven architecture using Kafka
- Experience writing Splunk or Cloudwatch queries. DataDog metrics
- Strong experience on ETL tools such as Abiitio, Informatica, SSIS ete
- Experience writing SQL Queries
- Experience working on AdTech/MarTech platforms is a plus
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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