Pb Position Summary: /b /pp We are seeking an experienced and versatile b Data Engineer /b to join our Data Analytics team. This role focuses on designing and maintaining b data pipelines that integrate Oracle Cloud applications and other operational systems with both AWS Data Lake and Microsoft Fabric environments /b. The successful candidate will play a critical role in enabling enterprise reporting and advanced analytics through robust data ingestion, transformation, and integration frameworks. /p pb Key Responsibilities: /b /pullib Build and maintain data pipelines /b to extract and move data between b Oracle Cloud (ERP, HCM, SCM) /b and other operational systems, plus between b AWS Data Lake (S3, Glue, Redshift) /b and b Microsoft Fabric (OneLake, Lakehouse, Data Factory) /b. /lili Design and optimize b ETL/ELT processes /b for large-scale, multi-source data ingestion and transformation. /lili Integrate with b external cloud-based systems /b (e.g., Salesforce, ServiceNow, MS Business Central) using APIs, flat files, or middleware. /lili Utilize b Oracle Integration Cloud (OIC), FBDI, BIP, and REST/SOAP APIs /b for data extraction and automation. /lili Leverage b Microsoft Fabric components /b, including b Data Factory /b, b Lakehouse /b, b Synapse-style notebooks /b, and b KQL databases /b, to enable structured data availability. /lili Collaborate with BI developers to b enable Power BI semantic models, apps, and enterprise-wide reporting /b. /lili Implement monitoring, logging, and error-handling strategies to ensure reliability and performance of data pipelines. /lili Adhere to best practices in b data governance, security, lineage, and documentation /b. /lili Partner with data architects, analysts, and business stakeholders to translate business needs into scalable data solutions. /li /ul pb Required Skills Qualifications: /b /pulli Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or related field. /lilib3+ years of experience in data engineering /b, including cloud data integrations and enterprise data pipeline development. /lili Experience with b Oracle Cloud (ERP, HCM, or SCM) /b and its integration mechanisms (FBDI, BIP, REST APIs, OIC). /lili Familiarity with b AWS Data Lake architecture /b : S3, Glue, Redshift, Athena, Lambda, etc. /lili Hands-on experience in the b Microsoft Fabric ecosystem /b, including b Data Factory (Fabric), OneLake, Lakehouse, Notebooks /b, and integration with Power BI. /lili Proficiency in b SQL, Python /b, and experience with b ETL orchestration tools /b (e.g., Airflow, Step Functions). /lili Strong knowledge of b data modeling /b, b data quality /b, and b pipeline optimization /b. /lili Experience with b Power BI datasets and reporting enablement /b, particularly in semantic model design. /li /ul pb Preferred/Desirable Skills: /b /pulli Familiarity with b streaming data tools /b (e.g., Kafka, AWS Kinesis, Fabric Real-Time Analytics). /lili Experience with b Git-based version control /b, b CI/CD for data pipelines /b, and b infrastructure as code /b (e.g., Terraform, CloudFormation). /lili Knowledge of b metadata management /b, b data lineage tracking /b, and b data governance frameworks /b. /lili Cloud certifications (e.g., b AWS Certified Data Analytics /b, b Microsoft Certified: Fabric Analytics Engineer /b, b Oracle Cloud Certified /b) are a strong plus. /li /ul pb Soft Skills: /b /pulli Strong problem-solving and analytical thinking. /lili Excellent communication skills, with the ability to collaborate across business and technical teams. /lili Highly organized, detail-oriented, and self-motivated. /lili Comfortable in fast-paced environments with shifting priorities. /li /ul