Design, build, and maintain a data platform that is scalable, reliable, and resilient in order to support KMBS data products and analytics needs. - Design and optimize data pipelines to ensure timely and consistent data availability. - Ensure data is easily accessible and usable to analysts and data scientists for insights and analysis. - Resolve architectural challenges and ensure data quality and integrity so that the data is trustworthy. - Partner with the Information Security team to ensure ... more details
Overview Seeking a Data Engineering and Machine Learning Ops Manager to join our growing Data and Analytics team. The Manager must be familiar with Google Cloud Platform (GCP) and be technically proficient in BigQuery and dbt Cloud. He or she will build and lead a team of data engineers and data scientists. The role will be instrumental in building out our data platform and enabling the organization to gain new business insights. The ideal candidate will be comfortable working with a wide range of stakeholders and be able to collaborate across teams to solve technical challenges and drive business results. Responsibilities • Design, build, and maintain a data platform that is scalable, reliable, and resilient in order to support KMBS data products and analytics needs. • Design and optimize data pipelines to ensure timely and consistent data availability. • Ensure data is easily accessible and usable to analysts and data scientists for insights and analysis. • Resolve architectural challenges and ensure data quality and integrity so that the data is trustworthy. • Partner with the Information Security team to ensure proper handling of different types of data. • Lead, train, and guide a team of data engineers and data scientists – drive collaboration and an innovative mindset. • Review code and support team members in resolving code conflict issues. • Monitor data usage and storage to scale platform infrastructure appropriately and achieve cost optimization. • Drive the design, build, and launch of new data models and data pipelines in production. • Define the processes needed to achieve operational excellence in enabling the organization to access and leverage data for different use cases. • Develop and implement MLOps strategies, best practices, and standards to enhance AL / ML model deployment and monitoring efficiency. • Develop roadmap and strategy for MLOps and LLMOps Platforms and model lifecycle implementation. • Analyze and recommend solutions for building and operationalizing AI / ML models. • Define and develop processes and tools to monitor and analyze model performance and data accuracy. Qualifications • 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 Experience and Skills: • 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. About Us Konica Minolta’s journey started 150 years ago, with a vision to see and do things differently. We innovate for the good of society and the world. The same purpose that kept us moving then, keeps us moving now. Konica Minolta Business Solutions U.S.A., Inc. is reshaping and revolutionizing the workplace to achieve true connectivity through the Intelligent Connected Workplace. The company guides and supports its clients’ digital transformation through its expansive office technology portfolio, including IT Services (All Covered), intelligent information management, managed print services and industrial and commercial print solutions. Konica Minolta has been included on CRN’s MSP 500 list nine times and The World Technology Awards named the company a finalist in the IT Software category. Konica Minolta has been recognized as the #1 Brand for Customer Loyalty in the MFP Office Copier Market by Brand Keys for sixteen consecutive years, and is proud to be ranked on the Forbes 2021 America’s Best-in-State employers list. The company received Keypoint Intelligence’s BLI 2021 A3 Line of The Year Award and BLI 2021-2023 Most Color Consistent A3 Brand Award for its bizhub i-Series. Konica Minolta, Inc. has been named to the Dow Jones Sustainability World Index for nine consecutive years and has spent six years on the Global 100 Most Sustainable Corporations in the World list. Konica Minolta partners with its clients to give shape to ideas and works to bring value to our society. For more information, please visit us online and follow Konica Minolta on Facebook, YouTube, LinkedIn and Twitter. EOE Statement Konica Minolta is an equal opportunity and affirmative action employer. We consider all qualified applicants for employment without regard to race, color, religion, creed, national origin, sex, pregnancy, age, sexual orientation, transgender status, gender identity, disability, alienage or citizenship status, marital status or partnership status, genetic information, veteran status or any other characteristic protected under applicable law.
