Overview
On Site
Accepts corp to corp applications
Skills
Computer Science
Information Systems
Orchestration
SQL
Python
Programming Languages
ELT
Extract
Transform
Load
Apache Airflow
Workflow Management
Real-time
Data Processing
Apache Spark
Apache Flink
Data Warehouse
NoSQL
MongoDB
Apache Cassandra
Redis
Amazon DynamoDB
Streaming
Apache Kafka
Amazon Kinesis
Data Integration
Data Quality
Data Governance
Data Engineering
Conflict Resolution
Problem Solving
Scalability
Communication
Teamwork
Collaboration
Marketing
Snow Flake Schema
Microsoft Azure
Cloud Computing
Big Data
Job Details
Data Architect, Snowflake, Azure.
- 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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