Data Migration Engineer (Informatica / dbt)

Role Purpose We are looking for a mid-level Data Engineer with 3+ years of experience to help maintain existing Informatica data integration pipelines while leading or assisting in the modern migration to dbt (data build tool) and cloud data platforms. You will bridge traditional ETL architectures with modern analytics engineering best practices Key Responsibilities ETL / ELT Development: Design, build, and support data pipelines using Informatica Power.

Center / IDMC (Intelligent Data Management Cloud) and dbt Core/Cloud . Migration Support: Assist in refactoring and migrating legacy Informatica mappings, workflows, and stored procedures into modular dbt models (SQL/Jinja). Data Modeling & Transformation: Build clean data warehouse layers (Staging, Intermediate, Marts) using dbt best practices, including incremental materializations, macro development, and snapshots.

Orchestration & Automation: Help orchestrate workflows using tools like Apache Airflow or cloud-native schedulers. Testing & Data Quality: Implement dbt tests (unique, not_null, accepted_values, custom assertions) and reconcile row counts/data discrepancies between source systems and the target warehouse. Collaboration & CI/CD: Work with Git/GitHub/GitLab for version control, participating in code reviews and CI/CD deployment pipelines.

Desired Candidate Profile Experience: 3+ years of total IT/data engineering experience with a strong focus on data integration and warehousing. Informatica: Hands-on experience with Informatica Power. Center, IDMC, or Power. Center designer—building mappings, mapplets, sessions, and workflows. dbt (Data Build Tool): Practical experience with dbt Core or dbt Cloud (model layering, writing macros, running tests, and incremental updates).

SQL & Python: Advanced SQL skills (complex joins, window functions, CTEs) and working knowledge of Python for scripting or automation. Cloud Data Warehouses: Exposure to Snowflake, Google Big. Query, or Azure Synapse/Databricks. Orchestration/DevOps: Familiarity with Apache Airflow, Git-based workflows, and CI/CD concepts Reach out: www.

predoole.com Write to: [email protected] About Predoole Analytics Predoole Analytics is a 17-year-old company, leader in the business of data analytics and intelligence, focused on helping organizations derive actionable business insights through technology.