ETL / INFORMATICA Developer
ALIS Software
Austin, TX, United States
2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source
Tech stack
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
+13 more
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
Job 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.
Requirements
- 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.
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