
Data Engineer
Atos
full-time
Posted on:
Location Type: Office
Location: Troy • Missouri • United States
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About the role
- Designing and implementing data pipelines to support data analysis and reporting.
- Collaborating with data scientists and analysts to understand data requirements.
- Ensuring data quality and accuracy throughout the ETL process.
- Optimizing data storage and retrieval processes.
- Contributing to the development of best practices for data management and analysis.
Requirements
- Excellent hands-on experience in AWS Data technologies Glue, S3, Athena, EMR, IAM etc.
- Mandatory - Hands-on experience in Python and PySpark. Python as a language is practically usable for anything, we are looking for application Development and Extract/Transform/Load and Datalake curation experience using Python.
- Hands-on experience in version control tools like Git.
- Worked on Amazon’s Analytics services like Amazon Athena, DynamoDB and AWS Glue
- Worked on Amazon’s Compute services like Amazon Lambda, Amazon EC2 and Amazon’s Storage service like S3 and few other services.
- Experience/knowledge of bash/shell scripting will be a plus.
- Has built ETL processes to take data, copy it, structurally transform it etc. involving a wide variety of formats like CSV, fixed width, XML and JSON.
- Have worked with columnar storage formats- Parquet, Avro, and ORC etc.
- Hands-on experience in tools like Jenkins to build, test and deploy the applications.
- Excellent debugging skills.
- Ability to quickly perform critical analysis and use creative approaches for solving complex problems.
- Strong academic background.
- Excellent written and verbal communication skills, and strong relationship building skills.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonPySparkETLdata pipelinesdata analysisdata qualitydata storagedata retrievalbash scriptingdebugging
Soft Skills
critical analysisproblem solvingcommunicationrelationship building