Snowflake Data Engineer

Job Description

Interested candidates can share their resume to nazirhossain.ext@deloitte.com with below details: Name: Contact number: Email: Current Location: Preferred Location: Total Exp: Relevant Exp: Education: Current Company: Current CTC: Fixed CTC: Expected CTC: Notice Period: _____________________________________________________________________________________ Snowflake Data Engineer • Proven experience with Matillion and SNP Glue for building scalable ETL/ELT pipelines. • Strong knowledge and hands-on experience with Snowflake cloud data warehouse. • Hands on Experience with Pipes, Tasks, Metadata tables in Snowflake • Expertise in RDBMS systems (e.g., Oracle, SQL Server, PostgreSQL) and SAP HANA database. • Solid understanding of data modeling, transformations, and query optimization. • Proficiency in SQL is a must. • Experience with data integration and API-based ingestion techniques. • Familiar with Agile methodologies and can adapt to rapidly changing environments also good experience in working with cross functional teams. • Thorough understanding of CI/CD techniques and methodologies. • Documentation of standard operations and RCA of production issues and fixes applying to resolve it. Key Responsibilities Design and implement robust data pipelines using Azure Data Factory and Azure Databricks Develop and optimize ETL/ELT processes for data integration from multiple sources. Create and maintain scalable data models following dimensional modeling best practices. Implement data solutions using Azure Data Lake Storage for large-scale data processing. Monitor and optimize pipeline performance, reliability, and availability. Collaborate with architects and business teams to develop technical designs. Ensure data quality, security, and compliance standards. Technical Requirements Azure Technologies Advanced experience with Azure Data Factory Expertise in Azure Databricks Proficiency with Azure Data Lake Storage Experience with Azure Synapse Analytics Programming & Tools Strong SQL skills including complex queries and stored procedures. Expertise in PySpark for large-scale data processing. Python programming for data transformation and analysis. Experience with data modeling tools and techniques. Qualifications Bachelor's degree in computer science, Information Technology, or related field. 3+ years of experience in Azure data engineering. Proven experience in enterprise-level data warehouse implementations. Strong understanding of data warehousing concepts (Kimball, 3NF) Experience working in Agile development environments. Required Skills Ability to design and optimize complex data models. Strong analytical and problem-solving capabilities Experience with CI/CD implementation for data solutions. Expertise in data quality management and validation. Excellent communication and collaboration abilities.