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# IND IT Software Engineer II

- **Company:** Alight, Inc.
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Query Performance, Airflow, Amazon Web Services, Amazon S3, Big Data, Cloud Computing, Computer Programming, Data Validation, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Warehousing, Dimensional Modeling, Distributed Computing Environment, Distributed Systems, Apache Hadoop, Python (Programming Language), Cloud Services, Standard Sql, Software Engineering, Data Streaming, Workflow Management Systems, Snowflake, Apache Spark, Cloudformation, Data Lakes, Pyspark, Apache Kafka, Software Coding, Terraform, Data Pipelines, Serverless Computing, Databricks
- **Published:** August 6, 2026
- **Apply:** https://www.juju.com/job/00000000glsn2m

## About the Role

+ **Experience:** 4 to 6 years of professional experience in data engineering or software development.

 + **Cloud Platforms:** Hands-on experience building data lakes and data warehouses natively on **AWS** .

 + **Big Data Frameworks:** Proficiency with distributed computing engines like **Apache Spark** and data streaming technologies (Kafka or Kinesis).

 + **Programming:** Strong coding skills in **Python** , alongside advanced **SQL** expertise.

 + **Data Modelling:** Solid understanding of data warehousing concepts and dimensional modelling.

Preferred (Bonus) Skills

 + Experience with Infrastructure as Code ( **IaC** ) tools such as **Terraform** or CloudFormation.

 + Familiarity with orchestration tools like **Apache Airflow, Step functions**

 + Experience with modern data stack tools like **Databricks** or **Snowflake** .

## Description

+ **Pipeline Development:** Design, construct, test, and maintain scalable **ETL/ELT** data pipelines using Python, Spark, Pyspark

 + **Big Data Processing:** Architect and optimize distributed processing systems utilizing **Apache Spark** , **Hadoop**

 + **Cloud Infrastructure:** Build and manage serverless and cloud-native data architectures leveraging **AWS** (e.g., S3, EMR, Glue, Redshift, Lambda, and Athena).

 + **Data Warehousing:** Design dimensional data models and optimize query performance for large-scale analytics.

 + **Monitoring & Security:** Implement automated data quality checks, monitoring/alerting, and adhere to strict data governance and security standards.


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