Enterprise Data Engineer

About the role

Design, evaluate, assemble, and test data infrastructures to meet business requirements.

Responsibilities

• Builds and maintains complex systems and infrastructures that collect and process data according to company needs and goals.
• Builds, evolves, and scales out infrastructure to ingest, process, and extract meaning from data.
• Designs, develops, and implements mathematical or statistical models to carry out various novel aspects of classification and information extraction from data.
• Leverages existing data infrastructure to fulfill all data-related requests, perform necessary data housekeeping, data cleansing, normalization, hashing, and implementation of required data model changes.
• Analyzes data to spot anomalies, trends, and correlate similar data sets.
• Designs, develops, and implements natural language processing software modules.
• Uses advanced techniques, theories, and processes to troubleshoot problems, identify possible solutions, and resolve accordingly.
• Performs all additional duties as assigned.

Requirements

• Bachelor's degree in Data or Computer Science, or equivalent certification.
• 4 years of experience with modern ETL platforms, such as IBM Datastage, Informatica, Snowpipe, Azure, AWS, etc.
• Strong knowledge of relational databases, data warehousing, and data modeling concepts.
• Moderate to advanced proficiency in database languages such as SQL, Python, etc.
• Use of advanced techniques, theories, and processes to complete work.
• Competency and capability to perform work independently and in a team environment.
• Oral and written communication skills.
• Advanced computer skills.
• Technical expertise with data warehouse tools.
• Analytical thinking skills.
• Problem-solving skills.

Master’s degree relevant to data or computer sciences or equivalent certification preferred.

Physical Requirements / Working Conditions

Must be able to sit for long periods of time and use a computer keyboard and/or mouse, while viewing computer screens.