ETL/Data Engineer
Role details
Job location
Tech stack
Requirements
8+ years of IT experience
-
Strong proficiency in programming languages such as Scala, or Java.
-
Experience with data validation, cleansing, and enrichment techniques to improve the accuracy and completeness of data.
-
Experience monitor and troubleshoot ETL processes to identify and resolve issues in a timely manner.
-
Experience in designing and developing ETL workflows using tools like Apache Spark or AWS Glue.
-
In-depth knowledge of ETL best practices, data integration techniques, and data quality management.
-
Familiarity with different data storage technologies and databases, such as Amazon S3 or Amazon Redshift
-
Build and optimize data pipelines to extract data from various sources, transform it into the required format, and load using Databricks and AWS services.
-
Bachelor's degree Preferred:
-
Understanding of concepts of Data Lakehouse architecture is a plus
-
Experience monitoring and troubleshooting ETL processes to identify and resolve issues in a timely manner.