Cyan360 Solution India

3 Job openings at Cyan360 Solution India
SAP HANA Consultant with Snowflake - Remote hyderabad 9 - 14 years INR 25.0 - 35.0 Lacs P.A. Remote Full Time

Role: Senior SAP HANA consultant with Snowflake Location: Remote Work Timings: 2:00 PM to 11:00 PM IST **Need someone who can join immediately** Description: We are looking for an experienced SAP HANA Consultant with strong expertise in data migration to Snowflake . The ideal candidate will have hands-on experience in HANA data modeling, ETL/ELT processes, and performance optimization along with practical knowledge of data migration strategies, tools, and pipelines for Snowflake . Key Responsibilities: Analyze existing SAP HANA data models and design optimal data extraction strategies for migration to Snowflake. Work closely with business and data engineering teams to understand migration requirements. Develop, optimize, and execute data extraction, transformation, and loading (ETL/ELT) workflows for HANA to Snowflake. Ensure data consistency, integrity, and performance during migration. Assist in data validation, reconciliation, and quality checks post-migration. Optimize HANA queries, views, and stored procedures to facilitate efficient data extraction. Collaborate with Snowflake engineers to design target data models, partitions, and performance tuning strategies. Provide technical documentation, migration runbooks, and post-migration support.

Immediate need For Senior Power BI Developer with SAP BW - Remote hyderabad 9 - 14 years INR 25.0 - 30.0 Lacs P.A. Remote Full Time

Role: Senior Power BI Developer Location: Remote Work Timings: 4:30 PM to 12:30 AM IST *** Need someone who can join immediately*** Job Overview:We are seeking an experienced Senior Power BI Developer with strong expertise in SAP BW (Business Warehouse) and SAP BusinessObjects (BOBJ) to join our team. The role involves designing, developing, and optimizing enterprise-level reporting and visualization solutions, integrating multiple data sources, and supporting business stakeholders in making data-driven decisions. Key Responsibilities: Design, develop, and deploy interactive dashboards, reports, and data visualizations in Power BI. Optimize data models for performance and scalability. Implement row-level security (RLS), data refresh schedules, and gateway configurations. Troubleshoot and maintain existing Power BI solutions. SAP BW & BOBJ Integration Connect Power BI to SAP BW data sources (via BEx queries, InfoProviders, CompositeProviders, etc.). Extract, transform, and model data from SAP BW/BOBJ into Power BI for reporting. Support existing BOBJ reports and dashboards, with migration/modernization to Power BI where applicable. Collaborate with SAP teams to ensure accurate and timely data availability. Required Skills & Qualifications: Experience: 10+ years in BI development, with at least 5+ years in Power BI. SAP Expertise: Hands-on experience with SAP BW (queries, InfoProviders, transformations) and SAP BusinessObjects (BOBJ) (WebI, Universe, Lumira, etc.). Experience in migrating reports from BOBJ to Power BI. Experience of SAP HANA integration with Power BI. Strong communication and stakeholder management skills.

Hiring_Senior AWS Data Engineer_Remote hyderabad 9 - 14 years INR 25.0 - 40.0 Lacs P.A. Remote Full Time

Title: Senior AWS Data Engineer Position: Full Time Work Timings: 3:30 PM to 11:30 PM IST. Need someone who can join immediately or in 15 days Responsibilities: Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc. Implement data processing and transformation workflows using Apache Spark, and SQL to support analytics and reporting requirements. Build and maintain orchestration workflows to automate data pipeline execution, scheduling, and monitoring. Skills: Minimum 8+ years of experience building and deploying large-scale data processing pipelines in a production environment. Hands-on experience in designing and building data pipelines on AWS cloud infrastructure. Strong proficiency in AWS services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc. Strong experience with Apache Spark for data processing and analytics. Hands-on experience on orchestrating and scheduling data pipelines using AppFlow, Event Bridge and Lambda. Solid understanding of data modeling, database design principles, and SQL and Spark SQL. Experience with version control systems (e.g., Git) and CI/CD pipelines.