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.