Description

You will build and maintain data pipeline architectures to support predictive modeling and analytics.

Responsibilities

• Build and maintain optimal data pipeline architectures, including data transformation, structures, metadata, and workload management.
• Assemble large, complex datasets from multiple sources to meet functional and non-functional business requirements.
• Design and implement internal process improvements, including automation and infrastructure redesign for scalability.
• Collaborate with data scientists, architects, and stakeholders to support data infrastructure needs and resolve technical issues.
• Perform root cause analysis on data processes to identify opportunities for improvement and enhance data quality.

Required Skills

• 5+ years of experience in a Data Engineering role.
• Advanced SQL knowledge with experience in query authoring and relational databases.
• Proficiency in Python and Java.
• Strong understanding of data structures and metadata management.
• Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or a quantitative field.
• Proven ability to build algorithms, prototypes, and data tools for analytics teams.
• Experience working with cross-functional teams to support data-related technical requirements.

Preferred Skills

• Data engineering certification, such as IBM Certified Data Engineer.

Key Skills

Education

Any Graduate