Remote ETL Developer Remote

Amaze Systems Inc is actively seeking an experienced, high-caliber, and technical Remote ETL Developer with 4 to 6 years of progressive professional experience in data engineering, extract-transform-load (ETL) pipeline development, and data warehousing to join our client engineering team on a full-time permanent remote basis. In this critical data infrastructure and analytics role, you will be responsible for designing, building, securing, and scaling robust integration solutions and data pipelines across distributed cloud and on-premise environments.

You will leverage your deep specialist expertise in ETL tools (Informatica, SSIS, Talend, Data Stage, or Matillion), SQL, PL/SQL, Python, and cloud data platforms to deliver uncompromised data reliability, high throughput, and operational excellence. This opportunity offers competitive compensation, executive technical visibility, and exceptional career growth prospects within a premier global IT recruitment and digital consulting enterprise.

As a Remote ETL Developer supporting Amaze Systems Inc in a remote capacity, you will take full operational, tactical, and technical ownership of data integration architecture, ETL/ELT pipeline execution, performance optimization, and database modeling across mission-critical analytics platforms. Your day-to-day responsibilities include designing, developing, testing, and maintaining scalable ETL pipelines and automated data ingestion frameworks utilizing industry-standard tools such as Informatica, SSIS, Talend, Data Stage, or Matillion, building, optimizing, and managing distributed big data processing and transformation workflows using Python and advanced SQL/PL/SQL, provisioning, administering, and securing cloud data warehouses and modeling architectures across AWS, Azure, or GCP platforms, collaborating closely with cross-functional software engineering, data science, product, and executive stakeholder squads in Agile sprint cycles, conducting rigorous data quality audits, performance tuning, query optimization, and debugging across large-scale datasets, preparing comprehensive technical documentation of data models, pipeline topologies, and operational runbooks, and managing application requirements by sending your updated resume via direct email to Kajal C at  You will utilize your proactive troubleshooting and analytical problem-solving skills to resolve complex data pipeline failures and latency bottlenecks under strict service level agreements.

Furthermore, you will manage application requirements ensuring strict compliance with the 4 to 6 years experience requirement and 100% remote work arrangement.

• Design, develop, test, optimize, and maintain scalable ETL/ELT data pipelines and automated integration workflows using industry tools.
• Author robust, high-performance data transformation scripts, stored procedures, and complex SQL/PL/SQL queries.
• Build, maintain, and optimize distributed data processing pipelines and data warehousing models across enterprise databases.
• Integrate diverse data sources into centralized data lakes and data warehouses utilizing Python for advanced data processing.
• Implement Dev Ops practices, version control workflows, and automated deployment pipelines for data engineering applications.
• Conduct rigorous data profiling, quality validation, debugging, performance optimization, and query tuning across large datasets.
• Collaborate seamlessly with cross-functional software engineering, healthcare analytics, and business intelligence squads.
• Maintain accurate, comprehensive technical documentation of data schemas, ETL architecture blueprints, and operational runbooks.

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Software Engineering, or a related technical discipline.
• Minimum of 4 to 6 years of progressive professional experience in software engineering, data engineering, and ETL pipeline development.
• Strong, demonstrable hands-on professional expertise in enterprise ETL tools such as Informatica, SSIS, Talend, Data Stage, or Matillion.
• Comprehensive working knowledge and practical proficiency in advanced SQL, PL/SQL, and Data Warehousing/Modeling principles.
• Deep practical experience scripting data processing workflows and automation tasks utilizing Python.
• Solid practical experience working with cloud data platforms (AWS, Azure, GCP) and modern cloud data services (ADF, Databricks,…