Data Engineer - Snowflake/AWS
First seen by Alion on Oct 23, 2026.
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 :
- Strong 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.
Skills
Data Engineering, SQL, AWS, Azure, ETL, Data Warehousing, Python, PySpark, Data Modeling, Snowflake DB