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Company

Original Job Post

Konica Minolta Business Solutions U.S.A., Inc. · 2 days ago

Mgr, Data Engineering and Machine Learning Operations

Ramsey, NJ

Full-time

Onsite

Senior Level

8+ years exp

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Responsibilities

Design, build, and maintain a data platform that is scalable, reliable, and resilient to support data products and analytics needs.

Design and optimize data pipelines to ensure timely and consistent data availability.

Ensure data accessibility and usability for analysts and data scientists.

Resolve architectural challenges and ensure data quality and integrity.

Collaborate with the Information Security team on data handling.

Lead, train, and guide a team of data engineers and data scientists.

Review code, support team members in resolving conflicts, and monitor data usage and storage.

Drive the design, build, and launch of new data models and pipelines.

Define processes for operational excellence in data access and utilization.

Develop and implement MLOps strategies and enhance model deployment efficiency.

Define MLOps and LLMOps Platforms roadmap and strategy.

Analyze and recommend solutions for AI/ML model operationalization.

Develop processes and tools to monitor and analyze model performance and data accuracy.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Google Cloud Platform (GCP)Google Cloud FunctionsRESTful APIsPythonJenkinsDevOpsCI/CDBigQueryDbt CloudGitLabBitbucketJavaSQLData WarehousingData ModelingETLsMachine LearningProblem-SolvingCommunicationTeamworkOpen Source toolingMeltano SDKTerraform expertiseCommand Line Interface (CLI)AirflowMonitoringAlertingLogging mechanismsContainerizationDocker

Required

Bachelor’s degree in Computer Science, Math, Physics, or related technical fields.

8+ years of professional experience as architect, engineer, data scientist, etc.

Experience scaling and managing 3+ person teams.

Experience working in an agile delivery model.

Experience building secure and reliable cloud architectures on Google Cloud Platform (GCP).

Adept at utilizing Google Cloud Functions for serverless computing and building RESTful APIs for seamless data integration.

Experience designing and architecting scalable data systems that leverage a hybrid approach of batch processing and real-time data streaming.

Proven ability to develop custom Python connectors to bridge data pipelines with various sources.

Experience with Jenkins Automation Server and DevOps practices like CI/CD pipelines and infrastructure-as-code tools.

Technically proficient in BigQuery and dbt Cloud.

Experience working in GitLab, Bitbucket, etc. for CI/CD and version control.

Solid understanding of programming languages used in data engineering, like Python, Java, and SQL, etc.

Deep knowledge of SQL databases and ability to execute queries quickly.

Knowledge of data warehousing and data modeling.

Understanding of how to maintain ETLs operating on a variety of structured and unstructured sources.

Strong critical thinking and problem-solving skills.

Excellent written and verbal communication skills in order to explain technical concepts to non-technical stakeholders and facilitate cross-team collaboration.

Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

Preferred

Strong understanding of Open Source tooling and their applications within the data ecosystem.

Familiarity with Meltano SDK.

Terraform expertise for infrastructure provisioning and management.

Proficient in working with the Command Line Interface (CLI) for efficient system administration.

Familiarity with Airflow for robust workflow orchestration and scheduling.

Experience implementing monitoring, alerting, and logging mechanisms for proactive system health checks.

Containerization & Orchestration: Utilize Docker and Kubernetes for containerized deployments and orchestration.

Company

Konica Minolta Business Solutions U.S.A., Inc.

Glassdoor

3.3

Konica Minolta Business Solutions U.S.A., Inc. is reshaping and revolutionizing the Workplace of the Future™.

Founded in 1873

Ramsey, New Jersey, USA

5,001-10,000 employees

http://kmbs.konicaminolta.us

H1B Sponsorship

Konica Minolta Business Solutions U.S.A., Inc. has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Trends of Total Sponsorships

2023 (1)

2022 (5)

2021 (6)

2020 (2)