| Job Description: |
- 12+ years of experience in data engineering, with at least 3-5 years focused on MarTech, CDP, and data warehousing.
- 8+ years of experience in data engineering, with at least 3-5 years focused on MarTech, CDP, and data warehousing.
Job Requirements: - 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
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