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Must-Have Skills (Top 3)
Adobe Journey Optimizer (AJO) Adobe Experience Platform (AEP) Snowflake Key Responsibilities
Design, develop, and maintain scalable data pipelines using Snowflake Build and optimize data warehouse solutions on Snowflake Develop ETL/ELT workflows for batch and real-time data processing Implement and manage orchestration using Apache Airflow Support real-time streaming pipelines using Kafka, Kinesis, Pub/Sub, Spark Streaming, or Flink Integrate marketing and customer data platforms, ensuring data accuracy and reliability Collaborate with data architects, analysts, and marketing teams to meet business requirements Ensure adherence to data quality, governance, and security standards Optimize data processes for performance, scalability, and cost efficiency Required Skills & Qualifications:
Bachelor's or Master's degree in Computer Science, Information Systems, or related field 3-5 years of experience in data engineering or related roles Strong hands-on experience with Snowflake (data ingestion, transformation, orchestration) Proficiency in SQL and Python for data processing and automation Experience with ETL/ELT tools and pipeline development Hands-on experience with Apache Airflow Experience with batch and streaming data pipelines Solid understanding of cloud data warehouses and data lakes (Delta Lake, Iceberg) Knowledge of Azure cloud services, including Azure Event Hubs and Snowflake integration Nice-to-Have / Preferred Skills:
Experience with real-time data processing frameworks (Spark Streaming, Flink, Kafka Streams) Familiarity with NoSQL databases (MongoDB, Cassandra) and key-value stores (Redis, DynamoDB) Understanding of marketing technologies, CDPs, and customer data integration challenges Relevant certifications such as Snowflake, Azure Cloud, or Big Data certifications
Languages
- English
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