Senior Data Engineer

Job Responsibilities: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:Data lake, AWS, ETL, Snowflake, Control‑M, Apache Airflow, PySpark, Java SparkHiring Manager Notes:Experience: 5–10 yearsProject: Large-scale Financial Data Exchange & Data Security platform handling transaction processing and data movement.Role: 60% Data Engineering, 40% Programming (Python/Java).Must-Have Skills:PySpark (Strong hands-on experience)Apache SparkAWS Glue ETLAWS EMRSnowflakePythonJavaData Structures & AlgorithmsAWS/Cloud InfrastructurePreferred 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.