Warszawa
We are seeking a talented ODI Developer with IDMC knowledge to design, build, and optimize enterprise data integration solutions. The role involves migrating ODI-based ETL pipelines to Informatica IDMC for modern cloud-native data integration, governance, and quality initiatives.
Key Responsibilities:
- Analyse business requirements and translate them into technical solutions.
- Re-engineer legacy ETL processes for cloud-native execution.
- Analyse current ODI mappings, packages, and procedures for ETL workflows.
- Build and optimize data integration pipelines using Informatica IDMC (Cloud Data Integration, Data Quality, Governance).
- Migrate and modernize ODI-based ETL processes into IDMC cloud solutions.
- Collaborate with data architects, analysts, and business stakeholders to gather requirements and deliver scalable solutions.
- Implement data quality, lineage, and governance frameworks across ODI and IDMC environments.
- Troubleshoot, monitor, and enhance performance of ETL jobs and workflows.
- Document technical designs, maintain version control, and support production deployments.
- Integrate IDMC with cloud platforms like Azure, and Snowflake and other data warehouses.
- Automate data flows, task scheduling, and workflows within the platform.
- Implement data cataloguing and metadata management for improved data discovery
- Monitor and optimize data pipelines for scalability, efficiency, and cost-effectiveness.
- Troubleshoot performance bottlenecks and implement tuning strategies.
- Ensure compliance with organizational data governance and security policies.
- Conduct data reconciliation between Teradata and Snowflake post-migration.
- Implement validation frameworks to ensure consistency and accuracy.
- Ensure compliance with data governance and security policies.
- Document migration processes, best practices, and technical solutions.
Technical Skills:
- Strong expertise in Oracle Data Integrator (ODI) — mappings, packages, procedures, and performance tuning.
- Knowledge of Informatica IDMC (Cloud Data Integration, Data Quality, Governance).
- Proficiency in SQL, PL/SQL, and RDBMS (Oracle, SQL Server, Teradata, Snowflake, etc.).
- Knowledge of data warehousing concepts, ETL design patterns, and BI integration.
- Familiarity with cloud platforms (AWS, Azure, GCP) and hybrid architectures.
- Strong experience in ETL/ELT concepts, data modelling, and design and building data pipelines and transformation logic.
- Experience with metadata ingestion, data lineage, and classification.
- Knowledge of DevOps and CI/CD practices for data workflows and version control (Git, Jenkins).
- Basic scripting in Python, Shell, or PowerShell for automation tasks.
- Experience in different batch processing and data loading/transformation strategies.
- Understanding of data profiling, cleansing, and metadata management.
- Strong problem-solving and communication skills.
- Experience in banking and financial services will be preferred.
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