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Über
Bachelor's or master's degree in computer science, Information Systems, or related field 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 Good communication and teamwork skills to collaborate with data architects, analysts, and marketing teams Relevant certifications (e.g., Snowflake, Azure Cloud, and Big Data) are a plus
Sprachkenntnisse
- English
Hinweis für Nutzer
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