Senior Data Engineer, AI/ML Platforms

The Sr Data Engineer will design and manage data systems, pipelines, and management tools. They will oversee junior data engineers, recommend and deploy data models, and lead projects involving data collection and storage systems. This role will design, build, document, test, and maintain critical data pipelines from large volumes of data from internal and external data sources cross different platforms.

PRIMARY RESPONSIBILITIES:

Collaborate with data architect, analysts, and stakeholders to identify and document needs/requirements for data pipelines and process automation

Design, build, document, test, and maintain data pipelines using industry best practices

Performs ETL, ELT operations in accordance with enterprise data governance and security standards

Develop data quality and governance process to ensure the accuracy and quality of the data through inspection, validation, processing, anomaly detection

KNOWLEDGE, SKILLS & ABILITIES:

Detail oriented and proactive in taking measures to avoid or mitigate issues.

Excellent understanding of computer systems, integrations, databases, and data storage systems.

Understanding of agile data engineering concepts and processes

Ability to capture and document business processes and requirements and work with colleagues to create functional requirements.

Ability to work with clients to translate business needs to technical solutions

Ability to provide guidance, mentoring, and training for peers

Exceptional interpersonal skills and ability to effectively communicate with teams across the entire organization.

Demonstrates the organization’s core values, exuding behavior that is aligned with the firm’s culture

Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook)

Ability to learn any other appropriate program or software system used by the firm as necessary

EDUCATION & EXPERIENCE:

5-7 years of relevant experience required

BA/BS in relevant discipline required

Vast experience with multiple development methodologies

Experience of building large, complicated data pipelines cross different platforms, data sources, data structures

Experience of working with relational databases such as SQL Server, Oracle, etc., and SQL scripting

Experience of cloud platforms (like AWS, Azure, GCP) and its ETL tools and techniques of sourcing, maintaining, and updating data, data warehousing, data cleansing & transformation, etc.

Programming experience in Python, Spark, and other similar languages

Advanced programming knowledge and experience with large-scale processing engines are required, as well as a deeper understanding of database security and compliance tools.

IMPORTANT NOTICE:

This position description is intended to describe the level of work required of the person performing in the role and is not a contract. The essential responsibilities are outlined; other duties may be assigned as needs arise or as required to support the organization. All requirements may be subject to reasonable accommodation to applicants and colleagues who need them for medical or religious reasons.

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The Baldwin Group will not accept unsolicited resumes from any source other than directly from a candidate who applies on our career site. Any unsolicited resumes sent to The Baldwin Group, including unsolicited resumes sent via any source from an Agency, will not be considered and are not subject to any fees for any placement resulting from the receipt of an unsolicited resume.