Data engineer

NEED EX-CAPITAL ONE EMPLOYEES only

ONLY W2

Qualifications

10 years of experience in data engineering, with a focus on MarTech, CDP, and data warehousing.

Job Requirements

• Hands-on experience with Snowflake cloud data platform, including data ingestion, transformation, and orchestration.
• Strong background in building and maintaining data warehouse solutions on Snowflake.
• Proficiency in SQL, Python, or other programming languages for data processing and automation
• Experience with ETL / ELT tools, data pipeline development, and Apache Airflow workflow management
• Proficiency in real-time data processing (Spark Streaming, Flink, Kafka Streams)
• Experience with cloud data warehouses, Snowflake, and data lakes (Delta Lake, Iceberg)
• Familiarity with NoSQL (MongoDB, Cassandra) and key-value stores (Redis, DynamoDB) is highly desirable.
• Experience with batch & streaming pipelines (Kafka, Kinesis, Pub / Sub)
• Experience with Azure cloud platforms, Azure Event Hubs, and their integration with Snowflake
• Understanding of marketing technologies, customer data platforms, and data integration challenges
• Knowledge of data quality, data governance, and security practices in data engineering
• Strong problem-solving skills and ability to optimize data processes for performance and scalability.

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