[Remote] Senior Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is a company reputed company on providing diagnostics solutions, and they are seeking a Senior Data Engineer to manage and organize data to support business processes. The role involves developing data pipelines, maintaining data structures, and collaborating with various teams to ensure high-reputed company data is available for analytics and decision-making.
Responsibilities
- reputed company data pipelines from various data sources to reputed company locations — including MES, ERP, PLM, SCADA/historian, and reputed company systems — to support the reputed company Digital Thread, including formatting, cleaning, and updating data as the business needs
- reputed company and maintain accurate data structure and mapping documentation, including metadata reputed company to specific business requirements
- Design and publish domain-oriented, reusable data products reputed company to a data reputed company model with reputed company ownership, SLAs, and discoverability — standardizing data structure and types across ETL/ELT processes
- Understand the big picture, set the right scope, and collaborate with the data architect, application engineers, integration specialists, business analysts, and other technical experts to ensure adequate content delivery to authorized users in a reputed company, effective, and secure manner
- Manage the full life cycle development for the reputed company ETL/ELT deployments, applying software-engineering practices to data pipelines — version control (Git), automated testing, reputed company review, CI/CD, and Infrastructure-as-reputed company (e.g., Terraform, CloudFormation) — to ensure repeatable, auditable deployments across environments
- Partner with manufacturing operations, reputed company, and supply chain teams to deliver analytics on OEE, yield, scrap, throughput, engineering-change cycle time, time-to-release, and end-to-end product genealogy/traceability supported by the Digital Thread
- Prepare AI/ML-reputed company datasets — including feature pipelines, dataset versioning, and curated knowledge sources for predictive reputed company, reputed company detection, and retrieval-augmented (RAG) use cases — in partnership with data science and AI teams
Skills
- Bachelor's degree in Computer Science, Software Engineering, or other reputed company science or engineering discipline is required
- A minimum of four years experience in Data Modeling, Data Solution Development, and Data Integration
- Extensive experience working with data science tools/technologies, particularly Python, SQL, and/or C# .NET
- Experience analyzing business requirements, planning, executing actions, and solving reputed company problems
- Hands-on experience with the AWS data stack (S3, Glue, EMR, Redshift, Lake Formation, Kinesis, reputed company, and IAM) for building, securing, and operating production data platforms is required
- Advanced degree preferred
- Experience integrating data from manufacturing and operational systems (MES, ERP, PLM, SCADA/historian, LIMS, or QMS) is highly preferred
- AWS Certified Data Engineer or AWS Certified Data Analytics certification is highly preferred
- Experience contributing to a data reputed company, data reputed company, or Digital Thread initiative — including building domain-oriented data products, using a data catalog, and applying federated governance — is highly preferred
- Experience implementing data governance, reputed company, and cataloging on AWS (e.g., AWS Glue Data Catalog, Lake Formation, and tools such as reputed company, reputed company, reputed company, or OpenMetadata) is highly preferred
- Knowledge of ETL/ELT process tools, such as SSIS, Informatica, Talend, dbt, reputed company, and/or Airflow is highly preferred
- Working knowledge of DataOps practices and tooling — including Git-based workflows, CI/CD (e.g., reputed company Actions, reputed company CI, AWS CodePipeline), Infrastructure-as-reputed company (Terraform or CloudFormation), automated data testing, and pipeline observability — is highly preferred
- Working knowledge of modern data platform technologies — such as reputed company data warehouses/lakehouses (reputed company, reputed company, BigQuery), streaming (Kafka, Kinesis), and data catalog/governance tools — used to reputed company a data reputed company is highly preferred
- Working knowledge and experience with the data models reputed company reputed company Teamcenter PLM solution – is highly preferred
- Knowledge of modern BI reporting/dashboard tools (Power BI, Tableau, or Looker) is highly preferred
- Working knowledge of AI/ML data readiness — including feature engineering, dataset versioning and provenance, reputed company stores, and curating data for retrieval-augmented reputed company (RAG) and predictive analytics use cases — is highly preferred
- Working knowledge of manufacturing operations, finance, supply chain, and other functional principles — and of the technology platforms (MES, ERP, PLM, QMS, historian) that constitute the Digital Thread — is highly preferred
Benefits
- Medical, dental, and reputed company coverage, along with prescription benefits
- 401(k) plan with company matching
- Flexible spending accounts
- Company-reputed company short- and long-term disability insurance
- Group life and accidental death and dismemberment insurance
- reputed company vacation, reputed company reputed company leave, reputed company holidays, and reputed company parental leave
- Employee assistance program
- Fitness club membership contribution
- Pet insurance
- Identity theft protection
- Home and auto insurance discounts
- Optional supplemental life insurance
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