Azure cloud data engineer snowflakes

4 weeks ago

Kottayam, India OptiLnX Full time

Remote 1-2 days in a month the candidate should visit the office - any location of client (The location would be Chennai, Pune, Noida, Gurgaon, Indore, Bangalore or Hyderabad) Shift Timings - 11am to 8:30 pm Budget - 70 KPosition Overview: We are seeking a highly skilled and experienced Senior Cloud Data Engineer to join our team for a Cloud Data Modernization project. The successful candidate will be responsible for migrating our on-premises Enterprise Data Warehouse (SQLServer) to a modern cloud-based data platform utilizing Azure Cloud data tools and Snowflake.  Key Responsibilities: Lead the migration of the ETLs from on-premises SQLServer based data warehouse to Azure Cloud and Snowflake. Design, develop, and implement data platform solutions using Azure Data Factory (ADF), Logic Apps, Azure Data Lake Storage Gen2 (ADLS Gen2), Blob Storage, and Snowflake. Review and analyze existing on-premises ETL processes developed in SSIS and T-SQL. Implement Dev Ops practices and CI/CD pipelines using Git Actions. Collaborate with cross-functional teams to ensure seamless integration and data flow. Optimize and troubleshoot data pipelines and workflows. Ensure data security and compliance with industry standards..  Required Qualifications: Minimum of 5+ years of experience as a Cloud Data Engineer. Hands-on experience with Azure Cloud data tools (ADF, SHIR, Logic Apps, ADLS Gen2, Blob Storage) and Snowflake. Strong experience in ETL development using on-premises databases and ETL technologies Experience with Python or other scripting languages for data processing. Proficiency in Dev Ops and CI/CD practices using Git Actions. Experience with Agile methodologies. Excellent problem-solving skills and ability to work independently. Strong communication and collaboration skills. Strong analytical skills and attention to detail. Ability to adapt to new technologies and learn quickly.  

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