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Quality Data Engineer
Mitchell Martin Inc. • New York, NY 10261 • Posted 2 days ago via LinkedIn
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Hybrid • Full-time • Mid Level
Job Highlights
Using AI ⚡ to summarize the original job post
The Quality Data Engineer role involves testing in a data environment, working with data pipelines, and migrating ETL jobs from Oracle/Informatica to AWS/Databricks ecosystems. This position requires evaluating specifications, writing test cases, and working in an Agile/Scrum environment. The role is onsite two days per week in NYC.
Responsibilities
- Testing in a data environment
- Working with data pipelines
- Migrating ETL jobs from Oracle/Informatica to AWS/Databricks ecosystems
- Evaluating specifications
- Writing test cases
- Working in an Agile/Scrum environment
Qualifications
Required
- Experience as a Data Engineer building data pipelines
- Experience using Databricks
- Experience transitioning from Oracle/SQL to Databricks
- Experience testing in a data environment and ability to write and automate test cases
- Experience working in AWS
- Experience working in an Agile/Scrum environment
- Proficiency with using Python
- Experience using SQL
About Mitchell Martin Inc.
Mitchell Martin is a top provider of IT staffing services, specializing in cybersecurity, SAP, RPA, and Salesforce nationwide. They also offer professional staffing and healthcare staffing with a strong focus on diversity, equity, and inclusion. Join their team for personalized support and guidance in achieving career goals.
Full Job Description
Our banking client is looking to hire a Quality Data Engineer role to join their data engineering team. You will be testing in a data environment, working with data pipelines, and migrating ETL jobs from Oracle/Informatica to AWS/Databricks ecosytems. You will be evaulating the specs, writing test cases and working in an Agile/Scrum environment.
*** NO SPONSORSHIP AVAILABLE AT THIS TIME***
Onsite 2 days per week in NYC
Requirements:
- Experience as a Data Engineer building data pipelines.
- Must have experience using Databricks.
- Experience transitioning from Oracle/SQL to Databricks.
- Experience testing in a data environment and ability to write and automate test cases.
- Experience working in AWS.
- Experience working in an Agile/Scrum environment.
- Proficiency with using Python.
- Experience using SQL.
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