Senior Data Engineer
BCforward
Create/manage ETL pipelines for the data lake and Snowflake; automate data analysis/aggregation work. Design, build, and manage scalable ETL pipelines for a data lake and Snowflake environment, ensuring efficient data ingestion, transformation, and loading. Automate data analysis and aggregation processes to support business insights and reporting. Collaborate with cross-functional teams to optimize data workflows and maintain data quality. Key Skills: Experience: 5–10 years Project: Large-scale Financial Data Exchange & Data Security platform handling transaction processing and data movement. Must-Have Skills: PySpark (Strong hands-on experience) AWS Glue ETL
AWS EMR
Snowflake Python Java Data Structures & Algorithms Preferred Domain: Banking, Financial Services, Payments, Transaction Processing. Interview Process: Zoom interview with Live Coding; onsite may be required. Ideal Candidate: Senior Big Data Engineer with strong PySpark, AWS Glue/EMR, Snowflake, and Python skills, capable of building scalable financial data processing solutions. #J-18808-Ljbffr BCforwardVacancy posted 5 days ago
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