Data Scientist

Pune - India

Monthly Salary: Not Disclosed

Posted on: 19 hours ago

Vacancies: 1 Vacancy

Department:

Operations

Job Summary

Description

Vertiv is looking for a Data Engineer to build and manage the data infrastructure that powers our smart manufacturing and IoT initiatives for the switchgear and busway business. This position will lead the design development and deployment of scalable data pipelines sourcing mission-critical data from our global network of manufacturing sites and IoT-enabled products. You will be responsible for creating a unified reliable data foundation that enables advanced analytics machine learning and business intelligence to drive operational excellence and innovation across Vertiv.

RESPONSIBILITIES

Programming & Scripting: Python (Pandas NumPy Scikit-learn PyTorch TensorFlow) R SQL

Data Engineering & Big Data: Apache Spark ETL/ELT pipeline architecture data warehousing

Databases: Relational (PostgreSQL MySQL) and NoSQL (MongoDB)

Cloud Platforms: AWS (S3 SageMaker) Google Cloud Platform (GCP - BigQuery Vertex AI) Azure

Machine Learning: Regression Classification Clustering NLP Time-Series Forecasting

Statistics: Hypothesis Testing Experimental Design Bayesian & Frequentist methods

Architect build and maintain robust and scalable ETL/ELT data pipelines to process structured and unstructured data from diverse sources including Manufacturing Execution Systems (MES) ERPs quality control systems and IoT sensor streams.

Design and implement a centralized cloud data platform (data warehouse/data lake) to serve as the single source of truth for all manufacturing and operational data.

Evaluate select and deploy modern data stack technologies (e.g. cloud data warehouses orchestration tools like Airflow/Prefect transformation tools like dbt) to establish a best-in-class data infrastructure.

Develop and enforce data engineering best practices for data quality monitoring logging data governance and CI/CD for data pipelines to ensure reliability and trust in the data.

Collaborate closely with data scientists BI analysts and manufacturing stakeholders to understand data requirements and deliver production-grade datasets optimized for analytics and machine learning models.

Design and implement standardized data models and schemas to ensure data consistency across the global organization enabling meaningful cross-plant analysis.

Automate manual data processes and optimize data pipeline performance to decrease data latency improve data availability and maximize the ROI of our data assets.

Skills

Expert-level proficiency in SQL and a programming language such as Python or Scala.

Hands-on experience with a major cloud platform (AWS Azure or GCP) and its associated data services (e.g. AWS Glue/Redshift Azure Data Factory/Synapse GCP BigQuery).

Experience with modern data orchestration and transformation tools (e.g. Airflow dbt Prefect).

Strong understanding of data warehousing concepts data modeling and database architecture (both relational and NoSQL).

Experience working with manufacturing data (MES SCADA) supply chain data or high-volume IoT streaming data (e.g. using Kafka Kinesis).

Partner with others and foster teamwork with a can do positive attitude and self-motivation.

Manage multiple priorities while working collaboratively!

Results-driven and detail oriented.

EDUCATION AND CERTIFICATIONS

Bachelors degree in engineering Mechanical Engineering Electrical Engineering Industrial Engineering Automation technology or related

Strong Lean Manufacturing & VSM experience 5-7 years.

Strong knowledge of advanced manufacturing technologies such as automation robotics and additive manufacturing

Proven track record of driving operational excellence and process improvements

Strong analytical and problem-solving skills

Ability to work effectively in cross-functional teams

Expertise in implementing advanced manufacturing technologies automation and processes

Ability to think strategically and drive change in a dynamic environment

Strong project management skills

Knowledge of industry best practices and emerging trends in advanced manufacturing

PHYSICAL REQUIREMENTS

No Special Physical Requirements

ENVIRONMENTAL DEMANDS

No Special Requirements

TRAVEL TIME REQUIRED

25%

DescriptionVertiv is looking for a Data Engineer to build and manage the data infrastructure that powers our smart manufacturing and IoT initiatives for the switchgear and busway business. This position will lead the design development and deployment of scalable data pipelines sourcing mission-criti...