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# ETL / INFORMATICA Developer

- **Company:** ALIS Software
- **Location:** Austin, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Airflow, Amazon Web Services, Microsoft Azure, Cloud Database, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Database Queries, Python (Programming Language), Meta-Data Management, Performance Tuning, Scrum Methodology, Workflow Management Systems, Data Processing, Freeform SQL, Google Cloud, Sql Optimization, Snowflake, Informatica Cloud, Integration Frameworks, Terraform, Data Pipelines, Api Management
- **Published:** August 27, 2026
- **Apply:** https://www.dice.com/job-detail/8fb585a1-3957-40e5-8dad-00e3092baf26

## About the Role

* 4-8+ years of hands-on experience as a Data Engineer.
 * Strong expertise in IICS (mappings, tasks, parameterization, scheduling).
 * Proficient in Snowflake (warehouses, stages, SnowSQL, task/stream pipelines).
 * Advanced SQL skills with experience in writing complex queries and optimizing performance.
 * Strong understanding of ETL/ELT design, data warehousing concepts, and cloud-based data architecture.
 * Experience working with cloud platforms (AWS, Azure, or Google Cloud Platform).

Preferred Skills:

 * Experience with Python for automation or data processing.
 * Familiarity with Terraform, DBT, Airflow, or other orchestration/automation tools.
 * Knowledge of API integrations and real-time/streaming solutions.
 * Experience with data governance, data quality frameworks, and metadata management.

## Description

* Design, develop, and maintain ETL/ELT pipelines using Informatica Cloud (IICS).
 * Build, optimize, and manage data models and data warehousing solutions in Snowflake.
 * Write efficient and complex SQL queries for data transformation, analysis, and performance tuning.
 * Collaborate with data architects, analysts, and business stakeholders to understand data requirements.
 * Ensure data quality, governance, and reliability across all data pipelines.
 * Develop reusable data frameworks, automation processes, and workflow orchestration.
 * Monitor data pipelines, troubleshoot issues, and implement performance improvements.
 * Contribute to Agile teams by supporting sprint planning, backlog grooming, and release cycles.


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