Base Career helps you apply smarter for this job.
Key skills for this role
We are looking for an experienced Data Engineer with strong hands-on knowledge of Informatica Intelligent Data Management Cloud (IDMC) and SQL.
The candidate will design, develop, test, and support ETL/ELT pipelines and data integration solutions.
The role also requires exposure to Python for scripting, automation, and data processing.
The candidate should be able to work independently and take ownership of assigned deliverables.
We are looking for an experienced Data Engineer with strong hands-on knowledge of Informatica Intelligent Data Management Cloud (IDMC) and SQL.
The candidate will design, develop, test, and support ETL/ELT pipelines and data integration solutions.
The role also requires exposure to Python for scripting, automation, and data processing.
The candidate should be able to work independently and take ownership of assigned deliverables.
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
Québec, CAN
Pune, IND
Fujitsu is seeking a manager to operationalize global workplace engineering and architecture strategies across managed services and delivery teams. The role leads distributed teams, service execution, standardization, De
North Ryde, AUS
Québec, CAN
Pune, IND
Bracknell, GBR
Derry, GBR
Pune, IND
Pune, IND
North Ryde, AUS
Wakefield, GBR
Design and develop ETL/ELT workflows using Informatica IDMC.
Develop reusable mappings, mapping tasks, and taskflows.
Configure source and target connections.
Implement transformation and business rules.
Build parameter-driven and reusable integration components.
Maintain existing IDMC pipelines and workflows.
Develop complex SQL queries for data processing and reporting.
Create and maintain stored procedures and database objects.
Perform joins, aggregations, data validation, and reconciliation.
Optimize SQL queries for better performance.
Troubleshoot database and query-related issues.
Integrate data between different source and target systems.
Perform data extraction, transformation, validation, and loading.
Implement data quality checks and reconciliation controls.
Manage rejected records, duplicate data, and missing values.
Ensure accuracy, completeness, and consistency of data.
Support error handling, recovery, and restart processes.
Prepare unit test scenarios and test data.
Perform unit testing and integration testing.
Validate record counts, business rules, and transformation results.
Support system integration testing and user acceptance testing.
Resolve defects identified during testing.
Monitor IDMC jobs and pipeline performance.
Optimize mappings, taskflows, SQL queries, and database operations.
Analyze failed jobs and data processing errors.
Perform root cause analysis for recurring issues.
Recommend corrective and preventive actions.
Support code migration across development, testing, and production environments.
Follow project release and change management processes.
Monitor production data pipelines.
Resolve incidents and production data issues.
Coordinate with dependent teams during deployments.
Provide timely status updates for critical issues.
Follow data security, privacy, and governance standards.
Maintain mapping documents and technical design documents.
Prepare operational and deployment documents.
Document configurations, dependencies, and support procedures.
Support knowledge transfer to project and support teams.
Work closely with business analysts, data architects, application teams, and testing teams.
Participate in technical discussions and design reviews.
Provide effort estimates for assigned activities.
Communicate delivery risks and dependencies in advance.
Complete assigned work within agreed timelines and quality standards.
Informatica Intelligent Data Management Cloud – IDMC
SQL, Python
Oracle, SQL Server, PostgreSQL, or similar relational databases
ETL, ELT, Data Integration, Data Warehousing
Data Validation, Data Quality, Reconciliation and Error Handling
Global information and communications technology services and solutions provider.
Visit company websiteJobs and hiring trendsFull-time
Senior · 6+ years experience
Onsite
Apply faster on company sites with our extension.