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# ETL Engineer_Woonsocket, RI

- **Company:** PHOTON, LLC
- **Location:** United States
- **Experience:** Expert
- **Salary:** $44,000.0 - $154,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Big Data, Cloud Computing, Databases, Information Engineering, Extract Transform Load (ETL), Data Mart, Data Transformation, Data Warehousing, Software Debugging, Distributed Computing Environment, Groovy, Python (Programming Language), Online Analytical Processing, Performance Tuning, Standard Sql, Talend, Cloud Platform System, Snowflake, Apache Spark, Spring-boot, Git, Cloudformation, Pyspark, Apache Kafka, Restful APIs, Terraform, Stream Processing, Data Pipelines, Jenkins
- **Published:** June 11, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7979aeb406b6c268

## About the Role

Do you have experience in System tuning?, We are looking for a highly skilled Senior ETL Engineer with strong experience in modern data engineering, data warehousing, and cloud-based data platforms. The ideal candidate will have hands-on expertise in building scalable data pipelines, working with Snowflake, and processing large datasets using distributed frameworks., * 10+ years of experience in ETL/Data Engineering

 * Strong hands-on experience in Python and SQL
 * Expertise in Snowflake (data warehousing, streams, tasks, optimization)
 * Experience with ETL tools (Talend, Informatica, or similar)
 * Hands-on experience with Apache Spark / PySpark
 * Solid understanding of data warehousing concepts (EDW, Data Marts, OLAP/ROLAP)
 * Experience working with cloud platforms (AWS preferred)
 * Strong debugging, performance tuning, and troubleshooting skills

Good to Have:

 * Experience with Kafka or real-time data streaming tools
 * Exposure to CI/CD pipelines (Jenkins, Git, Groovy)
 * Knowledge of Terraform / CloudFormation
 * Basic exposure to Java / REST APIs / Spring Boot

Soft Skills:

 * Strong communication and stakeholder interaction skills
 * Ability to work in fast-paced, enterprise environments
 * Experience working with cross-functional and global teams

## Description

* Design, develop, and maintain robust ETL pipelines to ingest data from multiple sources (databases, flat files, APIs, Snowflake, etc.)
 * Build and optimize scalable data warehouse solutions using Snowflake or similar platforms
 * Develop data transformation and processing workflows using Python and SQL
 * Work with large-scale distributed data processing frameworks like Spark/PySpark
 * Implement real-time and batch data processing pipelines (Kafka or equivalent tools preferred)
 * Ensure data quality through validation, testing, and monitoring frameworks
 * Troubleshoot and resolve data pipeline and performance issues in production environments
 * Collaborate with business stakeholders and data teams to understand data requirements and deliver solutions
 * Support data platform modernization and migration initiatives


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