Data Scientist

Tittle : Data Scientist
Location: Dallas TX (Onsite/Hybrid)
Job Type - Full Time

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