IICS Developer with hands-on expertise in Databricks

Job Summary We are seeking an experienced Informatica Intelligent Cloud Services (IICS) Developer with hands-on expertise in Databricks to design, develop, and support cloud-based data integration and ETL solutions. The ideal candidate should have strong experience in building scalable data pipelines, integrating multiple cloud and on-premises data sources, and working with modern cloud data platforms. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines using Informatica Intelligent Cloud Services (IICS).Build and optimize data integration workflows using Cloud Data Integration (CDI), Mass Ingestion, and Cloud Data Integration services.Develop and support scalable data pipelines using Databricks (PySpark & Spark SQL).Integrate data from cloud and on-premises sources including Oracle, SQL Server, Snowflake, Azure Data Lake, AWS S3, Google Cloud Storage, PostgreSQL, MySQL, and REST/SOAP APIs.Perform data extraction, transformation, cleansing, validation, and loading (ETL/ELT).Develop reusable mappings, parameterized mappings, taskflows, mapping templates, and workflow automation.Optimize ETL jobs for performance, scalability, reliability, and maintainability.Collaborate with business analysts, data engineers, architects, and stakeholders to understand business requirements and deliver high-quality solutions.Monitor production jobs, troubleshoot failures, perform root cause analysis, and implement preventive measures.Participate in code reviews, unit testing, deployment, release management, and production support.Prepare technical documentation and facilitate knowledge transfer sessions.Follow ETL development standards, data governance, and best practices. Mandatory Skills 5+ years of experience in ETL/Data Integration development.3+ years of hands-on experience with Informatica Intelligent Cloud Services (IICS).Strong expertise in:IICS Cloud Data Integration (CDI)Mapping DesignerTaskflowsDynamic MappingParameter FilesReusable MappingsScheduling & MonitoringREST & SOAP API IntegrationError Handling and LoggingHands-on experience with Databricks.Strong knowledge of PySpark and Spark SQL.Experience working with Delta Lake.Strong SQL programming and query optimization skills.Experience with cloud storage platforms:Azure Data Lake Storage (ADLS)AWS S3Google Cloud Storage (GCS)Experience working with relational databases such as:OracleSQL ServerPostgreSQLMySQLGood understanding of ETL best practices, performance tuning, data quality, and metadata management.Experience in production support, incident management, and troubleshooting. Preferred Skills Experience with Snowflake integration.Knowledge of Azure Data Factory (ADF) or other cloud ETL tools.Familiarity with CI/CD pipelines and Git version control.Experience working in Agile/Scrum environments.Exposure to cloud platforms such as Azure, AWS, or Google Cloud Platform (GCP).Knowledge of data warehousing concepts and dimensional modeling.Familiarity with Informatica Mass Ingestion and Cloud Application Integration (CAI) is an added advantage. Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.Informatica IICS Certification is a plus. Nice to Have Experience with Delta Live Tables (DLT).Exposure to Unity Catalog.Experience with Apache Spark optimization techniques.Understanding of Data Lakehouse architecture.Knowledge of DevOps tools such as Azure DevOps, Jenkins, or GitHub Actions. Skills: iics,databrics,cdi,azure Job Summary We are seeking an experienced Informatica Intelligent Cloud Services (IICS) Developer with hands-on expertise in Databricks to design, develop, and support cloud-based data integration and ETL solutions. The ideal candidate should have strong experience in building scalable data pipelines, integrating multiple cloud and on-premises data sources, and working with modern cloud data platforms. Key Responsibilities Design, develop, and maintain ETL/ELT pipelines using Informatica Intelligent Cloud Services (IICS).Build and optimize data integration workflows using Cloud Data Integration (CDI), Mass Ingestion, and Cloud Data Integration services.Develop and support scalable data pipelines using Databricks (PySpark & Spark SQL).Integrate data from cloud and on-premises sources including Oracle, SQL Server, Snowflake, Azure Data Lake, AWS S3, Google Cloud Storage, PostgreSQL, MySQL, and REST/SOAP APIs.Perform data extraction, transformation, cleansing, validation, and loading (ETL/ELT).Develop reusable mappings, parameterized mappings, taskflows, mapping templates, and workflow automation.Optimize ETL jobs for performance, scalability, reliability, and maintainability.Collaborate with business analysts, data engineers, architects, and stakeholders to understand business requirements and deliver high-quality solutions.Monitor production jobs, troubleshoot failures, perform root cause analysis, and implement preventive measures.Participate in code reviews, un