2.0 - 10.0 years

0 Lacs

pune, maharashtra

On-site

You will be joining Birlasoft, a global leader in Cloud, AI, and Digital technologies, known for seamlessly blending domain expertise with enterprise solutions. As part of the diversified CKA Birla Group, with over 12,000 professionals, you will contribute to the Groups 170-year heritage of building sustainable communities. We are currently seeking a Matillion Lead with 6-10 years of experience to join our team in PAN India. The ideal candidate should hold a B.E/B.Tech degree and have the following skills and qualifications: - Experience in end-to-end data pipeline development/troubleshooting using Snowflake and Matillion Cloud. - 10+ years of experience in DWH, with 2-4 years of experience in implementing DWH on Snowflake using Matillion. - Design, develop, and maintain ETL processes using Matillion for data extraction, transformation, and loading into Snowflake. - Collaborate with data architects and business stakeholders to understand data requirements and provide technical solutions. - Lead the end-to-end system and architecture design for applications and infrastructure. - Conduct data validation, end-to-end testing of ETL objects, source data analysis, and data profiling. - Troubleshoot and resolve issues related to Matillion development and data integration. - Work with business users to create architecture aligned with business needs. - Develop project requirements for end-to-end data integration processes using ETL for structured, semi-structured, and unstructured data. - Strong understanding of ELT/ETL and integration concepts, as well as design best practices. - Experience in performance tuning of Matillion Cloud data pipelines and quick issue resolution. - Knowledge of Snowsql and Snowpipe will be an added advantage. - Follow best practices for Matillion development to ensure maintainability, scalability, and reusability of ETL processes. In addition to the technical skills, the ideal candidate should possess excellent presentation and communication skills to interact with both technical and non-technical stakeholders. Resilience and the ability to thrive in a dynamic, fast-paced work environment are also essential for this role.,

Posted 2 weeks ago

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Snowflake Developer Stridely Solutions

2.0 - 7.0 years

8 - 18 Lacs

Pune, Ahmedabad, Vadodara

Work from Office

Key Responsibilities: Design, build, and maintain scalable data pipelines on Snowflake. Possessing experience or knowledge in Snow pipe, Time Travel, and Fail Safe. Write and optimize SQL queries for data extraction and transformation. Develop ETL processes to integrate various data sources into Snowflake. Monitor and troubleshoot data warehouse performance issues. Implement security measures and data governance practices. Having sound knowledge on snowflake architecture. Having knowledge on fivetran is addon advantage Collaborate with cross-functional teams to support analytical and reporting needs. Qualifications: Bachelors degree in computer science, Information Technology, or a related field. Proven experience with Snowflake and data warehousing concepts. Proficiency in SQL and ETL tools (e.g., Talend, Informatica, etc.).

Posted 1 month ago

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Snowflake Engineer Kenexai

2.0 - 5.0 years

3 - 6 Lacs

Ahmedabad

Work from Office

Roles and Responsibility : 1. Database and Datawarehouse Expertise: Demonstrate excellent understanding of Database and Datawarehouse concepts. Strong proficiency in writing SQL queries. 2. Snowflake Cloud Data Warehouse: Design and implement Snowflake cloud data warehouse. Develop and implement cloud-related architecture and data modeling. 3. Migration Projects: Manage migration projects, specifically migrating from On-prem to Snowflake. 4. Snowflake Capabilities: Utilize comprehensive knowledge of Snowflake capabilities such as Snow pipe, Stages, SnowSQL, Streams, and tasks. 5. Advanced Snowflake Concepts: Implement advanced Snowflake concepts like setting up resource monitor, RBAC controls, Virtual Warehouse sizing, Zero copy clone. 6. Data Migration Expertise: Possess in-depth knowledge and experience in data migration from RDBMS to Snowflake cloud data warehouse. 7. Snowflake Feature Deployment: Deploy Snowflake features such as data sharing, event, and lake house patterns. 8. Incremental Extraction Loads: Execute Incremental extraction loads, both batched and streaming.

Posted 1 month ago

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