Are you passionate about helping people improve the impact of their business
through the use of data and analytics? If you enjoy the challenges associated
with making complex information systems more user-friendly and effective, we are
looking for you to join a team of creative and highly motivated professionals
who are driving innovation in the upstream oil field services industry
At National Oilwell Varco, we strive to lead technology innovation that delivers
significant value to our customers. We are hiring a Big Data Engineer to help us
build and support our data and analytics delivery pipeline.
Responsibilities
* Design, develop, and optimize scalable data ingestion, transformation, and
analytics pipelines for IoT, operational, and business data using Spark and
Delta Lake technologies.
* Create and tune Spark transformation, aggregation, streaming, and machine
learning workloads, including optimization of Spark clusters and processing
infrastructure.
* Develop reusable frameworks for ingesting, validating, enriching, and
processing large-scale IoT and event-driven datasets.
* Build and maintain analytical data models, curated datasets, and KPI
calculation frameworks that enable product analytics, operational reporting,
business intelligence, and self-service analytics.
* Collaborate with Product, Engineering, Operations, and business stakeholders
to define, implement, and maintain meaningful KPIs, metrics, and data
products that support decision-making.
* Design and implement real-time and batch processing solutions using
event-based and streaming technologies.
* Build and execute large-scale data migration solutions for transferring
historical and operational data from source systems such as OSI PI and
TimescaleDB into enterprise data platforms.
* Develop monitoring, observability, reconciliation, and automation tools that
ensure the reliability, quality, and performance of data pipelines,
migrations, analytics workloads, and MLOps/DataOps processes.
📌 Big Data Engineer (India)
🏢 NOV
📍 India