Description

You will design and maintain data architectures for MarTech and Customer Data Platforms, owning the full lifecycle from ingestion to warehousing.

This role is on-site.

Responsibilities

• Build and maintain data warehouse solutions using Snowflake.
• Develop and orchestrate data ingestion, transformation, and ETL/ELT pipelines.
• Manage workflow orchestration using Apache Airflow.
• Implement real-time data processing for batch and streaming pipelines.
• Optimize data processes for performance, scalability, and security.

Required Skills

• 8+ years of experience in data engineering.
• 3-5 years of experience focused on MarTech, CDP, and data warehousing.
• Hands-on experience with Snowflake for data ingestion and transformation.
• Proficiency in SQL and Python for data processing and automation.
• Experience with ETL/ELT tools and Apache Airflow.
• Experience with Spark Streaming, Flink, or Kafka Streams.
• Experience with Kafka, Kinesis, or Pub/Sub pipelines.
• Experience with Azure cloud platforms and Azure Event Hubs.
• Bachelor's or master’s degree in Computer Science, Information Systems, or a related field.

Preferred Skills

• Familiarity with NoSQL databases like MongoDB, Cassandra, Redis, or DynamoDB.
• Snowflake, Azure Cloud, or Big Data certifications.

Key Skills

Education

Any Graduate