Description:

Build ETL jobs using Azure Data Factory for internal and external projects involving Azure, Salesforce, and SFTP technologies.
Develop and monitor ETL jobs, perform quality checks, and troubleshoot failures.
Create Azure Data Factory pipelines and SQL scripts for data manipulation and cleaning.
Assist in documenting data lineage and design/mapping documentation for QA and UAT.
Recommend and develop new data integration tools and build ETL jobs for Snowflake data platform.
Collaborate with data quality analysts to ensure data integrity across all jobs.

Requirements:

Bachelor’s degree in Computer Science, Computer Engineering, Data Analytics, Information Systems, or related field.
1 year of experience in ETL, Python, and SQL, or related occupation (e.g., Programmer Analyst).
Familiarity with Azure Data Factory, Apache Kafka, SQL, Python, Scala, Hadoop, Spark, Snowflake, Salesforce, Azure, AWS, and SQL Server.

Skills