Role Overview : We are looking for skilled Data Engineers with hands-on experience in one or more of the following technology areas : Snowflake, AWS, Microsoft Azure, and SQL. The ideal candidate should have strong data engineering fundamentals, experience in building and maintaining data pipelines, ETL/ELT processes, data integration, data transformation, and data warehouse solutions.Key Responsibilities : - Design, develop, and maintain scalable data pipelines and data processing workflows.- Build and optimize ETL/ELT processes for data extraction, transformation, and loading.- Work with structured and semi-structured data from multiple sources.- Develop complex SQL queries and optimize database performance.- Implement data warehousing and data integration solutions.- Ensure data quality, accuracy, performance, and reliability.- Troubleshoot data pipeline failures and resolve data processing issues.- Collaborate with cross-functional teams to deliver reliable data solutions.Technical Skills : - Snowflake : Architecture, virtual warehouses, databases, schemas, stages, SQL, query optimization, Snowpipe, Streams, Tasks.- AWS : S3, Glue, Redshift, Lambda, Athena,



cloud data pipelines.- Azure : Data Factory (ADF), Databricks, Synapse Analytics, Data Lake Storage (ADLS).- SQL/Database : Complex query writing, joins, CTEs, window functions, stored procedures, performance tuning, relational databases (SQL Server, PostgreSQL, MySQL, Oracle).Mandatory Skills : - Robust SQL and data engineering fundamentals.- Hands-on experience in at least one of the following : Snowflake, AWS, Azure, or SQL-based data engineering.- Experience with ETL/ELT, data pipelines, and data transformation.- Good analytical, problem-solving, and communication skills.Preferred Skills : - Python / PySpark.- Cloud data platforms and data warehousing.- Data modeling and performance optimization.- Git, CI/CD, and data pipeline monitoring.Who Should Apply?We welcome candidates from any of these backgrounds : Snowflake, AWS, Azure, SQL, Cloud, or ETL/Data Warehouse Engineering. Candidates with strong expertise in any one relevant technology domain can apply. Experience across multiple domains will be an added advantage. (ref:hirist.tech)

📌 Rayosys - Data Engineer - Snowflake/AWS (Hyderabad)
🏢 Rayosys
📍 Hyderabad