Posted on: 20/11/2025
Role Overview :
The role involves hands-on development of robust data pipelines using IICS, Azure Data Factory, and/or Azure Databricks, requiring proficiency in Python and SQL.
The ideal candidate is a proactive team player who enjoys mentoring, solving complex data problems, and driving technical excellence across projects.
Key Responsibilities :
- Informatica Cloud Development: Provide Hands-on development using Informatica IICS (Intelligent Cloud Services), including the design, configuration, and optimization of complex data integration mappings, transformations, and task flows.
- Azure Data Pipeline Implementation: Develop, build, and optimize scalable data pipelines leveraging Azure's native services, specifically Azure Data Factory or Azure Databricks.
- Coding and Scripting: Write clean, efficient code in Python and SQL for data manipulation, cleaning, complex logic execution within Databricks/ADF, and advanced data querying.
- Mentorship and Quality Assurance: Guiding and mentoring team members on best practices for IICS, cloud data services, coding standards, and data quality assurance to deliver high-quality outcomes.
- Problem Solving: Apply Strong programming fundamentals and a problem-solving mindset to tackle complex data integration challenges, data transformations, and performance tuning issues.
- Cloud Integration: Utilize Good exposure to Azure Cloud environments to integrate Informatica solutions with Azure storage, databases, and compute services.
- Collaboration: Act as a collaborative partner, working closely with data architects, analysts, and business stakeholders to translate data requirements into technical solutions.
Mandatory Skills & Qualifications
- Experience: 912 years of relevant professional experience.
- Core ETL/ELT: Solid experience in Informatica IICS Development.
- Cloud Platforms: Good exposure to Azure Cloud environments.
- Programming: Proficiency in Python and SQL.
- Data Tools: Hands-on experience Building and optimizing pipelines using Azure Data Factory or Azure Databricks.
- Fundamentals: Strong programming fundamentals and a problem-solving mindset.
- Team Skills: Proven ability as a team player who enjoys mentoring and knowledge sharing.
Preferred Skills :
- Deep technical knowledge of Azure data warehousing (e.g., Azure Synapse Analytics).
- Experience with Data Governance and Data Quality tools within the Informatica ecosystem.
- Familiarity with DevOps practices (CI/CD) for data pipelines and IICS deployments.
- Experience in performance tuning complex SQL queries and Informatica mappings in a high-volume data environment.
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Posted By
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1577686
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