Data Engineer
(HE)Office Bangalore, Brigade Opus 7th and 8th floor New, India
Hitachi
Official website of Hitachi, Ltd. Hitachi drives Social Innovation Business, creating a sustainable society with data and technology. We will solve customers' and society's challenges with Lumada solutions leveraging IT, OT (Operational...Location:
Bengaluru, Karnataka, IndiaJob ID:
R0069601Date Posted:
2025-05-26Company Name:
HITACHI ENERGY TECHNOLOGY SERVICES PRIVATE LIMITEDProfession (Job Category):
Engineering & ScienceJob Schedule:
Full timeRemote:
NoJob Description:
Mission Statement
This role is responsible for designing, developing, and maintaining data solutions on the Azure platform. As an Azure Data Engineer, you will work closely with data scientists, data analysts, and other stakeholders to ensure the efficient and reliable processing of data. You will build and manage data pipelines, ensure data quality, and support data-driven decision-making processes. You must possess strong technical skills, a deep understanding of data engineering practices, and the ability to work both independently and in teams
Your Responsibilities:
Designing and implementing scalable and reliable data pipelines on the Azure platform
Developing and maintaining data integration solutions using Azure Data Factory, Azure Databricks, and other Azure services
Ensuring data quality and integrity by implementing best practices in data collection, processing, and storage
Collaborating with data scientists, data analysts, and other stakeholders to understand their data needs and deliver actionable insights
Managing and optimizing Azure data storage solutions such as Azure SQL Database, Azure Data Lake, and Azure Cosmos DB
Monitoring the performance of data pipelines and implementing strategies for continuous improvement
Developing and maintaining ETL processes to support data warehousing and analytics
Implementing best practices for data governance, security, and compliance
Staying up-to-date with the latest industry trends and technologies to continuously improve data engineering practices and methodologies
Living Hitachi Energy’s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business.
Your Background:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
8+ years of experience in data engineering, with a focus on Azure data services
Relevant certifications in Azure data services or cloud computing will be an added advantage
Proficiency in programming and scripting languages such as Python, SQL, or Scala
Experience with Azure data services, including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Data Lake
Strong understanding of data modeling, ETL processes, and data warehousing concepts
Experience with big data technologies such as Hadoop and Spark
Knowledge of data governance, security, and compliance best practices
Familiarity with monitoring and logging tools such as Azure Monitor and Log Analytics
Strong problem-solving and troubleshooting skills
Excellent communication and collaboration skills to work effectively with cross-functional team.
Strong attention to detail and organizational skills
Ability to articulate and present ideas to senior management
Problem-solving mindset with the ability to work independently and as part of a team
Eagerness to learn and enhance knowledge unassisted
Strong networking skills and global orientation
Ability to coach and mentor team members
Effective collaboration with internal and external stakeholders
Adaptability to manage and lead transformational projects
Proficiency in both spoken & written English language is required
Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Big Data Computer Science Cosmos DB Databricks Data governance Data pipelines Data quality Data Warehousing Engineering ETL Hadoop Pipelines Python Scala Security Spark SQL
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