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AVEVA

Industrial software for SaaS asset management

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeSan Leandro, CA, USA$89.1k - $148.7k

About the Job

Requirements

  • A bachelor's degree in Engineering, Computer Science, Information Systems, Mathematics, Statistics, or another STEM-related field is required.
  • At least 3 years of professional experience in Data Engineering, Data Warehousing, or a related field is required.
  • Experience designing and developing data pipelines and ETL/ELT processes is required.
  • Experience working with SQL and relational database technologies is required.
  • Experience supporting data integration, transformation, and data quality initiatives is required.
  • Knowledge of cloud-based data platforms and modern data architecture principles is required.

Responsibilities

  • Design, develop, and maintain scalable data pipelines using Azure Synapse Analytics and related Azure services.
  • Build and support data integration and ETL/ELT processes to ingest, transform, and consolidate data from multiple internal and external sources.
  • Develop and maintain data models and data warehousing solutions that support enterprise reporting and analytics needs.
  • Implement data cleansing, transformation, validation, and enrichment processes to ensure high-quality data.
  • Design and support solutions for batch and real-time data processing requirements.
  • Monitor, troubleshoot, and optimize data pipeline performance to ensure efficient processing and scalability.
  • Identify and resolve data quality, performance, and system reliability issues.
  • Collaborate with business partners, analysts, and technology teams to understand data requirements and deliver data solutions.
  • Ensure compliance with data governance, security, privacy, and regulatory requirements.
  • Create and maintain technical documentation, including data flows, ETL processes, data models, and operational procedures.
  • Support continuous improvement initiatives by identifying opportunities to automate and enhance data engineering processes.

Desired Qualifications

  • Experience with Microsoft Azure, including Azure Synapse Analytics, Azure Data Factory, Azure Data Lake, and related services.
  • Experience building enterprise-scale data warehouse and analytics solutions.
  • Proficiency in Python, Spark, or other data processing technologies.
  • Experience working with structured, semi-structured, and unstructured data sources.
  • Familiarity with data governance, security, and privacy best practices.

About the Company

AVEVA

Industrial software for SaaS asset management

AVEVA provides industrial software that helps companies digitally transform their operations in manufacturing, energy, and infrastructure. Its offerings are delivered as a subscription-based service (SaaS) for engineering asset management, rather than traditional perpetual licenses. The core product, CONNECT, is an open industrial intelligence platform that runs in the cloud and can scale as a business grows; it works with or without Schneider Electric hardware, thanks to its hardware-agnostic design. Along with software, AVEVA offers online training to help clients adopt the new SaaS model. Compared with competitors, AVEVA differentiates itself by being hardware-agnostic, offering a cloud-first, subscription platform, and an open platform that supports scalable, cloud-based engineering asset management. The company aims to help customers digitally transform their operations, improve efficiency, and reach broader markets through flexible, cloud-based software solutions.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Cambridge, United Kingdom
Founded
1967

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