Description

You will design and develop enterprise data architecture to transform core data assets and drive business outcomes.

Responsibilities

• Build and maintain data systems, pipelines, and collection systems to optimize statistical efficiency.
• Define high-level migration plans to transition between current and future state architectures.
• Analyze raw data and interpret results using statistical techniques to report on findings.
• Promote the reuse of data assets and manage the data catalog for enterprise reference.

Required Skills

• 5+ years of experience in data engineering or related roles.
• Proficiency with Python, Spark, and SQL.
• Hands-on experience with Azure Data Lake, Azure Synapse, and Azure Data Factory.
• Strong expertise in SQL database design and data modeling.
• Experience building pipelines and working with Big Data platforms (SQL and NoSQL).
• Knowledge of data warehousing, data integration, and APIs.
• Understanding of network and data security architecture.
• Ability to collect, organize, and analyze significant amounts of information with high accuracy.

Preferred Skills

• Experience with streaming technologies such as Kafka, IBM MQ, or EventHub.
• Background in operational data science, machine learning, or AI solutions.

Key Skills

Education

Any Graduate