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# Data Engineer

- **Company:** Randstad
- **Location:** Charlotte, NC, United States
- **Salary:** $124,800 - $135,200
- **Contract:** Contract
- **Skills:** Adobe InDesign, Amazon Web Services, Amazon S3, Data Analysis, Unit Testing, CA Workload Automation Ae, Batch Processing, Big Data, Unix, Computer Programming, Databases, Information Engineering, Extract Transform Load (ETL), Data Mapping, Data Mining, Data Profiling, Data Warehousing, Relational Databases, Database Queries, IBM InfoSphere DataStage, Software Design Documents, Linux, DevOps, Github, Python (Programming Language), PostgreSQL, Microsoft SQL Server, Oracle (Applications), Oracle SQL Developer, Pentaho Data Integration, Performance Tuning, Scrum Methodology, SQL Stored Procedures, PL-SQL, SQL Databases, Data Processing, Sql Optimization, Informatica Powercenter, Sybase, Pyspark, Data Analytics, AWS Data Analytics, Apache Kafka, Bitbucket, Restful APIs, Data Pipelines, Sql Tuning, Jenkins, Control M
- **Published:** November 11, 2026
- **Apply:** https://www.dice.com/job-detail/a5861028-e3d6-41eb-9032-34e242a7ee3d

## About the Role

Developer experience specifically focusing on Data Engineering.

-Hands-on experience in Development using Python and Pyspark as an ETL tool.

-Experience in AWS services like Glue, Lambda, MSK (Kafka), S3, Step functions, RDS, EKS etc.

-Experience in Databases like Postgres, SQL Server, Oracle, Sybase etc.

-Experience with SQL database programming, SQL performance tuning, relational model analysis, queries, stored procedures, views, functions, and triggers.

-Strong technical experience in Design (Mapping specifications, HLD, LLD), Development (Coding, Unit testing).

-Knowledge in developing UNIX scripts, Oracle SQL/PL-SQL.

-Experience with data models, data mining, data analysis and data profiling.

-Experience in working with REST API's.

-Experience in workload automation tools like Control-M, Autosys etc.

-Good knowledge in CI/CD DevOps process and tools like Bitbucket, GitHub, Jenkins.

-Strong experience with Agile/SCRUM methodology.

-Experience with other ETL tools (DataStage, Informatica, Pentaho, etc.).

-Knowledge in MDM, Data warehouse and Data Analytics.

qualifications:

 - Core Stack: Hands-on development using Python and PySpark for scalable ETL/ELT pipelines.

 - AWS Data Services: Production experience with AWS Glue, Lambda, MSK (Kafka), S3, Step Functions, and RDS.

 - Databases & Advanced SQL: Deep experience with relational databases (PostgreSQL, SQL Server, Oracle) and advanced SQL programming (performance tuning, stored procedures, complex queries, data modeling).

 - System Design & Linux: Solid background in High-Level/Low-Level Design (HLD/LLD), data mapping specs, and shell/UNIX scripting.

skills:

AWS tools,batch processing,large data,data mining,data extraction,data manipulation,Pyspark,Python,design and development,business value