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Hitachi

Diversified tech conglomerate delivering digital solutions

Value Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedHybrid

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Systems, Engineering, or a related field is required.
  • 2–4 years of experience as a Data Engineer, with growing proficiency in ETL, data modeling, and data pipeline development.
  • Working proficiency in SQL and experience with relational database systems.
  • Experience with scripting languages such as Python or JavaScript for automation and data transformation.
  • A solid understanding of data warehousing, ETL tools, and enterprise data flows.
  • Strong analytical skills and attention to detail in data validation and troubleshooting.
  • Good communication and collaboration skills, with demonstrated ability to work effectively with cross-functional teams.
  • Ability to manage multiple tasks and prioritize effectively, with support from senior team members as needed.
  • Proficiency in both spoken and written English is required.
  • Demonstrated effective use of AI and digital tools to enhance problem-solving, decision-making, and productivity while applying sound judgment, ensuring accuracy and compliance, and maintaining accountability for outcomes.

Responsibilities

  • Build and maintain ETL pipelines to extract, transform, and load data from ERP, CRM, and other enterprise systems into Celonis, with support from senior engineers on complex scenarios.
  • Develop data models within Celonis that reflect business processes, contributing to process mining and root-cause analysis efforts.
  • Design and build action flows within Celonis to automate business processes, applying reusable orchestration patterns.
  • Work alongside IT and application owners to integrate data from SAP, Oracle, databases, and other platforms into Celonis.
  • Monitor the performance of Celonis data models, pipelines, and action flows, identifying issues and supporting optimization efforts.
  • Maintain data validation and cleansing processes to support high-quality, trustworthy data for analytics.
  • Support the application of AI/ML techniques, such as anomaly detection and predictive insights, with guidance from senior engineers on more advanced use cases.
  • Partner with business analysts, value engineers, and process owners to understand process requirements and translate them into data models and action flows.
  • Create and maintain technical documentation for data pipelines, transformation logic, and Celonis data models.
  • Stay current on advancements in Celonis EMS, data engineering practices, and process intelligence technologies, and actively seek growth opportunities.
  • Support the development of dashboards, action flows, and automations within Celonis.
  • Ensure compliance with applicable external and internal regulations, procedures, and guidelines.
  • Live Hitachi Energy's core values of safety and integrity by taking responsibility for one's own actions while caring for colleagues and the business.

Desired Qualifications

  • Some hands-on experience with Celonis, including data integration, modeling, building views, or action flows; willingness to build deeper expertise is essential.
  • Exposure to applying AI/ML techniques, such as predictive modeling, anomaly detection, natural language processing, or recommendation systems, to data or process analytics.
  • Familiarity with cloud environments and data orchestration concepts.

About the Company

Hitachi

Diversified tech conglomerate delivering digital solutions

Hitachi is a global conglomerate operating in energy, digital solutions, home appliances, and infrastructure to support governments, businesses, and consumers. Its offerings turn data into actionable insights through digital transformation services and Hitachi Energy’s renewable energy and grid solutions. It differentiates itself with an integrated portfolio that combines hardware, software, and services and a emphasis on societal impact and sustainability. Its goal is to build a sustainable society by using technology and data to improve energy efficiency, infrastructure resilience, and quality of life.

Company size
10,001+
Company stage
IPO
Headquarters
Tokyo, Japan
Founded
1910

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