Develop and maintain ADF pipelines for data ingestion and transformation
Assist in implementing simple to medium ETL logic
Configure datasets linked services and triggers in ADF
Perform unit testing and pipeline validation
Support data loads into SQL Server ADLS or cloud data stores
Troubleshoot pipeline failures and support defect resolution
Document pipeline logic and operational procedures
Required Skills Experience
3 years of experience in ETL or Data Engineering
Basic to intermediate knowledge of Azure Data Factory
Good understanding of SQL and relational databases
Familiarity with cloud storage ADLS Blob Storage
Understanding of data warehousing concepts
Willingness to learn and adapt in a fast paced environment
Preferred
Basic exposure to CICD and Git
Experience with Azure Synapse or Power BI data sources
Knowledge of basic scheduling and monitoring concepts
Skills
Mandatory Skills : Java, Python, Python for DATA, Scala, Snowflake
Good to Have Skills : ANSI-SQL, Azure Data Factory, AZURE DATA LAKE, Azure Functions, Azure SQL, Azure Synapse Analytics, Databricks, ETL Concepts, Oracle ETL & Scripting