BI & Data Manager

Principal/Staff, Firmware and Product Test (SSD)

DEA Manager

Manager, Data Engineering

Warehouse Technician

Service Technician

Senior Data Engineer

AVP – Model Ops Engineer

R&D Product Development Engineer II

IAD / SAD / LAD GCP Data Engineer

Responsibilities: Data Engineering &amp; Platform Development: <ul><li>Design, build and optimise enterprise data platforms using Microsoft Fabric (Lakehouse, Data Factory, Warehouse and Real-Time Analytics).</li><li>Develop scalable ETL/ELT pipelines supporting both batch and real-time data processing.</li><li>Optimise data storage, transformation and query performance across enterprise platforms.</li><li>Build reusable semantic models and scalable data products supporting enterprise analytics.</li></ul> Business Intelligence &amp; Analytics: <ul><li>Develop enterprise reporting and dashboard solutions using Power BI, Power Query, SQL and DAX.</li><li>Translate complex business requirements into scalable technical data solutions.</li><li>Enable self-service analytics while maintaining strong governance and platform performance.</li><li>Leverage Python where required for advanced analytics and data manipulation.</li></ul> Data Architecture &amp; Governance: <ul><li>Design scalable enterprise data models using modern architecture principles.</li><li>Drive enterprise-wide data governance, master data management, and data quality initiatives.</li><li>Implement data lineage, cataloguing, security, and regulatory compliance standards.</li><li>Establish best practices around data standards, access control, and governance.</li></ul> Technical Leadership: <ul><li>Lead and mentor a team of BI Developers and Data Engineers while remaining hands-on.</li><li>Own end-to-end delivery of enterprise data solutions from design through deployment and optimisation.</li><li>Conduct technical reviews and establish engineering best practices.</li><li>Collaborate closely with IT, Manufacturing, Operations, and business stakeholders to deliver scalable enterprise solutions.</li></ul> Requiremnents: <ul><li>8+ years of experience in Data Engineering, Enterprise Data Platforms or Business Intelligence.</li><li>Strong hands-on expertise with Microsoft Fabric (mandatory).</li><li>Proven experience working with SAP CDS Views, ideally within SAP S/4HANA environments (mandatory).</li><li>Experience integrating SAP with Manufacturing Execution Systems (MES) and other enterprise applications.</li><li>Strong manufacturing industry experience.</li><li>Advanced SQL, data modelling, and Power BI expertise.</li><li>Experience with Azure-based data platforms and modern Data Engineering practices.</li><li>Experience leading technical teams while remaining actively involved in solution design and development.</li><li>Excellent stakeholder management, communication, and problem-solving skills.</li></ul>

Responsibilities: <ul><li>Build comprehensive firmware verification plans for various firmware features.</li><li>Develop white/ grey-box, known, and closed system testing methods to verify and validate firmware products.</li><li>Analyze failures from weekly regressions and perform root-cause analysis, requiring deep SSD domain expertise.</li><li>Manage test development, test deployment, test automation, and reporting activities.</li><li>Communicate challenges, solutions, and mitigation plans to cross-functional teams and management with clear and effective communication of both technical and non-technical topics.</li><li>Participate in code reviews and guide the team to ensure comprehensive coverage and accurate architectural build.</li><li>Establish strong working relationships with firmware development engineers to improve code quality.</li><li>Lead a team of technical people, as required.</li></ul>&nbsp;Requirements: <ul><li>B.Sc. in Electrical Engineering, Computer Engineering, or Computer Science</li><li>6-8 years of pertinent experience in SSD firmware test development</li><li>Comprehensive understanding and substantial experience in SSD firmware testing and Python programming</li><li>Deep understanding of storage industry protocols such as PCIe, NVMe and NVMe-MI, with ability to design and develop tests aligned with specifications.</li><li>Familiarity with Agile/ Scrum development, GIT-based development workflow and branch management.</li><li>Experience with automated build, continuous integration, and test automation systems</li><li>Highly organized, creative, motivated, and passionate about achieving results</li><li>Ability to work on complex tasks independently with minimal supervision</li><li>Demonstrated leadership abilities and the capability to mentor less experienced engineers</li><li>Excellent problem-solving and analytical skills</li><li>Strong interpersonal and communication skills, and a great teammate</li></ul>

Role Description: <ul><li>The DEA Manager is responsible for ensuring the company maintains strict compliance with all DEA regulations and applicable state-level controlled substance laws.</li><li>This role manages the day-to-day requirements for handling-controlled substances, including quota management, licensing, ARCOS reporting, Suspicious Order Monitoring (SOM), material movement, and maintaining accurate records to ensure audit readiness at all times.</li></ul> Responsibilities: <ul><li>Manages a team supporting State Licensing, Suspicious Order Monitoring (SOM) and DEA.</li><li>Manages and submits DEA procurement quota applications.</li><li>Maintains and renews DEA, State, and Board of Pharmacy licenses and registrations for all company facilities.</li><li>Oversees the generation and execution of DEA 222 forms for the transfer and procurement of Schedule II controlled substances.</li><li>Acts as the primary point of contact during DEA and State Board of Pharmacy inspections and audits.</li><li>Liaises with Procurement and the DEA regarding the import/export of control substances and completes required documentation.</li><li>Prepares, reviews, and submits accurate and timely ARCOS reports to the DEA; Ensures accurate reporting of year-end and biennial inventories across all facilities.</li><li>Conducts internal audits of controlled substance vaults, cages, and manufacturing areas to ensure physical security and record-keeping compliance.</li><li>Drafts, reviews, and updates Standard Operating Procedures (SOPs) related to the handling, storage, and distribution of controlled substances.</li><li>Monitors federal and state legislative changes regarding controlled substances; advises management on the impact of new regulations and implement necessary operation shifts.</li><li>Coordinates all controlled substance destruction with the warehouse and the Environmental, Health &amp; Safety department.</li></ul> Requirements: Education &amp; Experience <ul><li>Bachelor’s degree in science, PharmD preferred.</li><li>5+ years of relevant work experience.</li><li>Strong knowledge of DEA and FDA regulations.</li></ul> Physical Requirements <ul><li>Ability to stand, walk, or climb stairs/ladders for extended periods while performing duties within the plant.</li><li>Occasional lifting or moving of materials or equipment (generally up to 25–40 lbs)</li><li>Frequent use of hands and eyes for computer work, and documentation.</li><li>Ability to wear required personal protective equipment (PPE) such as safety glasses, gowns, gloves, or respirators when entering manufacturing areas.</li><li>Capacity to work in cleanroom, environments, which may involve temperature variations, or noise.</li><li>Must be able to travel between facilities as needed</li></ul>

Responsibilities: <ul><li>DATA &amp; ANALYTICAL SOLUTIONS: Oversees the development of data products and solutions using big data and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.</li><li>DATA PIPELINES: Develops and monitors streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.</li><li>DATA SYSTEMS: Reviews existing data systems and architectures to lead identification of areas for improvement and optimization.</li><li>DATA INFRASTRUCTURE: Oversees the preparation of data infrastructure to drive the efficient storage and retrieval of data.</li><li>DATA FORMATS: Reviews and resolves appropriate data formats to improve data usability and accessibility across the organization.</li><li>STAKEHOLDER MANAGEMENT: Partners collaboratively with multi-functional data and advanced analytic teams to capture requirements and ensure that data solutions meet the functional and non-functional needs of various partners.</li><li>DATA FRAMEWORKS: Builds complex prototypes to test new concepts and provides guidance to implement data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.</li><li>AUTOMATED DEPLOYMENT PIPELINES: Oversees the development of automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.</li><li>DATA MODELING: Guides the team to perform data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility.</li><li>TEAM MANAGEMENT: Manages team members to achieve the organizations goals, by ensuring productivity, communicating performance expectations, creating goal alignment, giving and seeking feedback, providing coaching, measuring progress and holding people accountable, supporting employee development, recognizing achievement and lessons learned, and developing enabling conditions for talent to thrive in an inclusive team culture.</li></ul> Requirements: <ul><li>Some experience in React, including hooks, context API, and state management libraries (Redux, Zustand)</li><li>Solid experience with JavaScript (ES6+), TypeScript, HTML5, CSS3.</li><li>Strong experience with C# and .NET Framework/.NET Core.</li><li>Solid understanding of object-oriented programming.</li><li>Experience with unit testing and mocking frameworks (e.g., xUnit, NUnit, Moq).</li><li>Familiarity with design patterns (e.g., Repository, Factory, Strategy).</li><li>Experience with SQL DBs, MySQL, Postgres, or MS SQL: writing queries, stored procedures, and performancetuning.</li><li>Knowledge of RESTful APIs and message-based systems.</li><li>Experience with relational databases and data access libraries (e.g., Entity Framework, Dapper).</li><li>Knowledge of ReactJS</li><li>Proficient in Git: branching, merging, pull requests, and version control workflows.</li></ul>

Role Description: <ul><li>The Warehouse Technician will be responsible for executing material handling, inventory management, and warehouse operations in support of a sterile pharmaceutical manufacturing facility producing injectable IV bag products, including high potent APIs and controlled substances.</li><li>This role will ensure materials are received, stored, issued, and shipped in compliance with cGMP, DEA, and site safety requirements.</li><li>The Warehouse Technician will play a key role in maintaining accurate inventory records, supporting production schedules, and ensuring the cleanliness, organization, and security of the warehouse.</li></ul> Responsibilities: <ul><li>Receive, inspect, and verify incoming materials, components, and supplies against purchase orders and specifications.</li><li>Ensure proper storage of raw materials, packaging components, and controlled substances in compliance with cGMP, DEA, and safety requirements.</li><li>Accurately issue and deliver materials to production areas based on production schedules and work orders.</li><li>Operate warehouse equipment such as forklifts, pallet jacks, and material handling devices in a safe and compliant manner.</li><li>Perform cycle counts, physical inventory counts, and reconciliation of discrepancies in coordination with Inventory Control.</li><li>Maintain warehouse cleanliness, organization, and environmental conditions per site procedures and regulatory requirements.</li><li>Document all material transactions in the inventory management system, ensuring data accuracy and adherence to data integrity principles.</li><li>Prepare shipments of materials, components, or finished products in compliance with applicable regulations, including hazardous material handling requirements.</li><li>Support material sampling activities, including coordination with Quality Control for testing.</li><li>Assist in warehouse procedure creation, updates, and continuous improvement initiatives.</li><li>Ensure DEA security and access control measures are followed for controlled substances.</li><li>Collaborate with Production, Quality, Planning, and Procurement to ensure timely material availability for manufacturing operations.</li></ul> Requirements: Qualifications/Experience: <ul><li>High school diploma or equivalent required; Associate’s degree preferred.</li><li>Minimum of 2 years of warehouse or material handling experience in a cGMP-regulated pharmaceutical, biotechnology, or related manufacturing environment.</li><li>Experience handling controlled substances and/or high potent APIs preferred.</li><li>Knowledge of cGMP, DEA, and OSHA requirements for material handling and storage.</li><li>Experience operating forklifts and other warehouse equipment; forklift certification preferred.</li></ul> Skills/Competencies: <ul><li>Strong attention to detail and accuracy in documentation and inventory management.</li><li>Familiarity with inventory management systems and ERP software.</li><li>Ability to work effectively in a fast-paced, highly regulated environment.</li><li>Strong organizational skills with the ability to prioritize tasks.</li><li>Good communication and teamwork skills.</li><li>Commitment to safety, compliance, and maintaining a secure warehouse environment.</li><li>Ability to lift and move materials in accordance with safety guidelines.</li></ul>

Responsibilities: Commissioning &amp; Startup: <ul><li>Installing new UPS systems and energy storage solutions at client sites.
</li></ul> Preventive &amp; Corrective Maintenance:: <ul><li>Conducting battery replacements, system audits, and component repairs to maintain high availability.</li></ul> Troubleshooting: <ul><li>Diagnosing complex electrical and software issues on critical power systems.</li></ul> Customer Support: <ul><li>Delivering technical feedback, creating service reports, and offering solutions to meet customer needs.</li></ul> Safety Compliance: <ul><li>Ensuring all work complies with health and safety standards. </li></ul> Requirements: <ul><li>Technical Education: Background in electrical engineering or equivalent technical field.</li><li>Experience: Previous experience with UPS or power electronics, with roles ranging from entry-level to experienced technicians.</li><li>Skills: Strong diagnostic ability, proficiency with diagnostic tools, and customer service skills.</li><li>Travel: Ability to travel to customer sites as needed</li></ul>

Responsibilities: Data Infrastructure:&nbsp; <ul><li>Prepares data infrastructure to support the efficient storage and retrieval of data.</li></ul> Data Formats:&nbsp; <ul><li>Examines and resolves appropriate data formats to improve data usability and accessibility across the organization.</li></ul> Data &amp; Analytical Solutions:&nbsp;&nbsp; <ul><li>Develops complex data products and solutions using advanced engineering and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.</li></ul> Data Pipelines:&nbsp;&nbsp; <ul><li>Develops and maintains streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.</li></ul> Data Systems:&nbsp;&nbsp; <ul><li>Reviews existing data systems and architectures to identify areas for improvement and optimization.</li></ul> Stakeholder Management: <ul><li>Collaborates with multi-functional data and advanced analytic teams as well as with business teams to gain requirements and ensure that data solutions meet the functional and non-functional needs of various partners.</li></ul> Data Frameworks:&nbsp; <ul><li>Builds complex prototypes to test new concepts and implements data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.</li></ul> Automated Deployment Pipelines:&nbsp;&nbsp; <ul><li>Develops automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.</li></ul> Data Modeling:&nbsp;&nbsp; <ul><li>Performs complex data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility.</li></ul> Requirements: <ul><li>Minimum requirement of 4 years of relevant work experience.&nbsp;</li><li>Typically reflects 5 years or more of relevant experience.</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain robust pipelines to collect, transform, and store data used in model monitoring workflows (e.g., scoring data, performance metrics, outcomes).</li><li>Build scalable data architectures to support real-time and batch monitoring, including data ingestion, enrichment, and retention practices.</li><li>Develop reusable monitoring components (e.g., performance drift detectors, threshold-based alerts, metric repositories) that support various model types and regulatory needs.</li><li>Integrate data pipelines with model lifecycle platforms, MLOps tools, and observability solutions to ensure seamless model performance tracking.</li><li>Partner with model risk and compliance teams to ensure data lineage, audit trails, and documentation are preserved and accessible for regulatory reviews (e.g., SR 11-7 compliance).</li><li>Collaborate with data scientists, model validators, and product managers to align monitoring data infrastructure with evolving model monitoring requirements.</li><li>Work closely with the model monitoring analytics and strategy monitoring analytics teams within MO&amp;A to ensure the monitoring data infrastructure adapts to changing analytics and monitoring needs. Enable visualization and reporting capabilities through dashboards (e.g., Power BI, Tableau) that summarize model health, stability, and issue alerts.</li><li>Designing and maintaining high-performance data pipelines that ingest, transform, and version datasets for Model and Strategy Monitoring</li><li>Optimize data storage and compute performance for large-scale monitoring use cases involving high-frequency scoring or model ensembles.</li></ul> Requirements: <ul><li>Bachelor’s degree in a quantitative, technical, or data-focused field (e.g., Statistics, Mathematics, Computer Science, Data Science, Engineering) with 5+ years’ experience or in lieu of degree, and 7+ years of relevant work experience in, data engineering or related roles in the financial services or regulated analytics domain.</li><li>Strong proficiency with data engineering tools and frameworks (e.g., Apache Spark, Airflow, Kafka, dbt, PySpark).</li><li>Proficient in programming languages such as SAS, Python, and SQL for building monitoring pipelines and validation checks.</li><li>Experience with cloud-based data infrastructure (e.g., AWS, Azure, GCP) and data warehousing (e.g., Snowflake, Redshift, BigQuery).</li><li>Familiarity with MLOps practices, model metadata tracking (e.g., MLflow), and monitoring toolkits (e.g., Evidently AI, Why Labs, Prometheus).</li><li>Understanding of model risk governance requirements and the role of data engineering in ensuring compliant model monitoring.</li><li>Ability to work in an agile environment and deliver high-quality, production-grade code in collaboration with DevOps and platform engineering teams.</li></ul>

Responsibilities: <ul><li>Design &amp; Development of automotive products like Connectors, Header, Terminals, Automotive components.&nbsp;</li><li>Interact directly with customers / Sales and Marketing team to identify key Product Technical requirements / deliverables and establish product specifications to fulfil customer requirements in handling new concepts / quotations.</li><li>To lead and drive complex new product development products starting from concepts generation, DFMEA, DFM/DFA, prototyping &amp; testing.</li><li>To generate 3D CAD models &amp; 2D drawings in PTC Creo for Connector, Terminal, Header &amp; other auto components.&nbsp;</li><li>Responsible for creating test specifications, deciding test methods, DVP Preparations &amp; testing and validation.</li></ul> Requirements: <ul><li>B.E (Mechanical)</li><li>Minimum 2 to 9 years of hands-on experience in automotive plastic components development (preferably Connectors).</li><li>Good Experience in Product validation and testing (DV / PV) of automotive products.</li><li>Exposure to manufacturing processes like Injection molding, stamping, Manufacturing and assembly etc.</li><li>Exposure to APQP &amp; PPAP activities.</li><li>Exposure to Design review processes like DFEMA / DFA / DFM / FEA etc.,</li><li>Exposure to IATF 16949 / TS 16949.</li><li>Problem solving and critical thinking.</li><li>Good CAD Modelling skills (Pro-E / Creo), AutoCAD.</li><li>Strong 2D drawing drafting skills.</li><li>Good working knowledge on GD&amp;T &amp; Tolerance Stack up analysis.</li></ul>

Responsibilities: Architecture &amp; Design:&nbsp; <ul><li>Design end-to-end data architectures that integrate real-time streaming (Kafka, GCP Pub/sub) and batch processing (Big Query OR Databricks).</li></ul> Pipeline Development:&nbsp; <ul><li>Build and maintain robust ETL/ELT pipelines flowing into BigQuery/Databricks, ensuring data is clean, modeled, and ready for consumption.</li></ul> Custom Integration:&nbsp; <ul><li>Develop custom APIs and microservices using Java/Python/C# to facilitate data movement between niche systems and the data lakehouse.</li></ul> Infrastructure Management:&nbsp; <ul><li>Deploy and manage data workloads on Google Kubernetes Engine (GKE), ensuring high availability and cost-efficiency.</li></ul> Technical Leadership:&nbsp; <ul><li>Mentor junior engineers, conduct code reviews, and establish DataOps best practices (CI/CD, automated testing, and monitoring).</li></ul> Data Reliability:&nbsp; <ul><li>Implement data quality frameworks to ensure accuracy and lineage across the hybrid environment.</li></ul> Requirements: <ul><li>Experience with Terraform &amp; Azure Dev Ops (ADO).</li><li>Knowledge of workflow orchestrators like Apache Airflow (Cloud Composer).</li><li>Experience implementing Data Governance (metadata management, data cataloging).</li><li>Data Processing &amp; Storage</li><li>BigQuery: Expert-level SQL and experience with partition/cluster optimization.</li><li>Databricks: Deep knowledge of the Lakehouse architecture, Delta Lake, and Spark (PySpark/Scala) Software Engineering &amp; APIs</li><li>Languages: Proficiency in Java/Python/C# for backend development and custom data connectors.</li><li>API Design: Proven ability to build and consume RESTful APIs for data ingestion Streaming &amp; Infrastructure</li><li>Kafka/GCP Pub-Sub: Experience building event-driven architectures and managing producers/consumers.</li><li>GKE: Proficiency in containerization (Docker) and orchestrating data workloads on Kubernetes.</li></ul>

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22 pv storage Jobs found

BI & Data Manager

Principal/Staff, Firmware and Product Test (SSD)

DEA Manager

Manager, Data Engineering

Warehouse Technician

Service Technician

Senior Data Engineer

AVP – Model Ops Engineer

R&D Product Development Engineer II

IAD / SAD / LAD GCP Data Engineer

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22 pv storage Jobs found

BI & Data Manager

Principal/Staff, Firmware and Product Test (SSD)

DEA Manager

Manager, Data Engineering

Warehouse Technician

Service Technician

Senior Data Engineer

AVP – Model Ops Engineer

R&D Product Development Engineer II

IAD / SAD / LAD GCP Data Engineer

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow is on a mission to connect companies with the best talent across the globe.