TL;DR
Senior Data Engineer: Designing and developing data integration solutions for large data domains with an accent on data/batch processing, manipulation, and ETL. Focus on using Python/PySpark and AWS tools for scalable data infrastructure and performance tuning.
Location: Charlotte, NC, USA. Requires hybrid onsite work.
Salary: $78-80/hr (W2)
Company
hirify.global is a company specializing in providing IT staffing services.
What you will do
- Design and develop data integration solutions.
- Perform data/batch processing, manipulation, mining, and ETL.
- Utilize Python/PySpark and AWS tools for data operations.
- Work with large data domains and relational databases.
Requirements
- Strong data engineering development experience.
- Hands-on ETL development using Python and PySpark.
- Experience with AWS services (Glue, Lambda, MSK/Kafka, S3, Step Functions, RDS, EKS).
- Strong SQL skills, including performance tuning and database objects.
- Experience working in Agile/Scrum environments.
- Work authorization for W2 employment in the US is required.
Nice to have
- Experience with enterprise ETL tools (DataStage, Informatica, Pentaho).
- Knowledge of UNIX scripting and Oracle SQL/PL-SQL.
- Experience building and consuming REST APIs.
- Familiarity with CI/CD and DevOps tools (GitHub, Jenkins).
- Knowledge of MDM, data warehousing, and analytics.
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