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# Software Engineer

- **Company:** Alight, Inc.
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Big Data, Cloudera Impala, Data Integrity, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Database Development, Apache Hive, Unix Shell, Standard Sql, Scala (Programming Language), SQL Databases, Cloud Platform System, Apache Spark, Pyspark, Data Pipelines
- **Published:** May 15, 2026
- **Apply:** https://www.juju.com/job/00000000fzdv1j

## About the Role

_Software Engineer with 4 years of experience in ETL and Data Warehousing. The ideal candidate will have strong hands-on expertise in SQL development across Hive, Spark, and Impala, along with a solid understanding of cloud ecosystems. This role requires proficiency in big data technologies and scripting, as well as flexibility to collaborate during U.S. business hours. AWS certification is a plus._, _Experience: 4 years in ETL and Data Warehousing._

_Technical Skills:_

_Strong SQL skills with Hive, Spark, and Impala._

_Proficiency in HIVE / PySpark / Spark / Scala scripting._

_Good understanding of Unix Shell scripting._

_Conceptual knowledge of cloud ecosystems (AWS preferred)_ .

**_Certifications:_** _AWS Certified applicants are highly desirable._

**_Soft Skills:_** _Strong problem-solving ability, adaptability, and communication skills._

**_Work Hours:_** _Flexibility to overlap with U.S. business hours._

## Description

_Design, develop, and maintain ETL workflows and data pipelines for large-scale data processing._

_Write and optimize medium-complexity SQL queries on Hive, Spark, and Impala for use case-driven scenarios._

_Develop and maintain scripts using HIVE, PySpark, Spark, and Scala for data transformation and processing._

_Implement and troubleshoot Unix Shell scripts for automation and system tasks._

_Collaborate with cross-functional teams to ensure data integrity and performance._

_Work in alignment with U.S. business hours for meetings and deliverables._

_Contribute to cloud-based data solutions and ensure best practices in data engineering._


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