A leading financial services firm is seeking an ETL Data Engineer to develop and maintain data engineering processes using Python (PySpark) in Azure Synapse Analytics. The role involves designing effective data storage structures, implementing data quality checks, and collaborating with cross-functional teams. Ideal candidates should have a Bachelor's degree in Computer Science, significant ETL experience, and proficiency in SQL. This position offers opportunities for growth in a dynamic environment.
Qualifications
Bachelor’s degree in Computer Science, Information Technology, or a related field.
Proven experience in ETL data engineering using Python (PySpark).
Proficiency in using Azure Synapse Analytics, including Notebooks and Pipelines.
Responsibilities
Develop and maintain ETL processes within Azure Synapse Analytics.
Design effective data storage structures using data warehousing concepts.
Implement data quality checks and validation processes.
Skills
ETL data engineering
Python (PySpark)
Azure Synapse Analytics
SQL querying
Data modeling
Data quality checks
Git (Azure DevOps)
Data visualization tools
Education
Bachelor’s degree in Computer Science or related field
Tools
Azure Key Vault
Power BI
Tableau
Job description
A leading financial services firm is seeking an ETL Data Engineer to develop and maintain data engineering processes using Python (PySpark) in Azure Synapse Analytics. The role involves designing effective data storage structures, implementing data quality checks, and collaborating with cross-functional teams. Ideal candidates should have a Bachelor's degree in Computer Science, significant ETL experience, and proficiency in SQL. This position offers opportunities for growth in a dynamic environment.