If you are looking to build a strong career in cloud, analytics, and big data technologies, this Data Engineer opportunity can be the right step forward. Hitachi Digital Services is hiring talented professionals who are passionate about transforming raw data into meaningful insights.
In this detailed guide, youโll find everything you need to know about this Data Engineer role โ responsibilities, required skills, eligibility, career growth, and why this position is valuable for candidates aiming to work in data-driven organizations.
๐ About Hitachi Digital Services
Hitachi Digital Services is a global digital transformation and engineering solutions company focused on powering innovation. The organization works across industries to build scalable data solutions, cloud platforms, and intelligent digital systems.
They focus on:
- Data engineering and cloud transformation
- Digital innovation
- Sustainable technology solutions
- Industrial data modernization
This makes the Data Engineer role extremely impactful and future-oriented.
๐ Data Engineer โ Job Overview
| Category | Details |
|---|---|
| Role | Data Engineer |
| Locations | Bengaluru, Hyderabad, Pune |
| Function | DS Cloud & Data Engineering |
| Experience | Relevant Data Engineering Experience |
| Core Skills | ETL Tools (NiFi, Talend, AWS Glue, Azure Data Factory) |
| Work Focus | Data Pipelines, Machine Data Extraction, Shop Floor Systems |
| Communication | Strong client interaction required |
๐ฏ Why This Data Engineer Role is Important
The demand for skilled Data Engineer professionals is increasing rapidly. Organizations today rely on structured and real-time data to make business decisions. A Data Engineer builds the foundation for analytics, AI, and business intelligence systems.
In this role, you will:
- Design and build scalable data pipelines
- Extract data from machines and shop-floor systems
- Work with ETL tools to process raw data
- Translate business problems into technical data solutions
- Collaborate with engineering and customer teams
This position plays a crucial role in making organizations data-driven.
๐ Key Responsibilities of a Data Engineer
Below are the primary responsibilities expected from a Data Engineer in this role:
1๏ธโฃ Build and Maintain Data Pipelines
- Develop scalable ETL workflows
- Use tools like NiFi, Talend, AWS Glue, Azure Data Factory
- Ensure data accuracy and performance
2๏ธโฃ Translate Business Requirements
- Understand customer business challenges
- Convert requirements into technical data architecture
- Provide scalable data solutions
3๏ธโฃ Machine & Shop Floor Data Extraction
- Extract operational data
- Process machine-generated logs
- Build structured storage solutions
4๏ธโฃ Client Communication & Technical Confidence
- Build confidence with key customer influencers
- Address technical objections professionally
- Present solutions clearly
๐ป Technical Skills Required for Data Engineer
| Skill Area | Required Knowledge |
|---|---|
| ETL Tools | NiFi, Talend, AWS Glue, Azure Data Factory |
| Cloud Platforms | AWS / Azure |
| Data Pipelines | Batch & Streaming Pipelines |
| Data Processing | Transformation, Validation |
| Communication | Strong technical & client communication |
A strong understanding of ETL processes is essential for any aspiring Data Engineer.
๐ Ideal Candidate Profile
The ideal Data Engineer candidate should have:
- Strong analytical thinking
- Good communication skills
- Customer-facing confidence
- Ability to handle technical objections
- Passion for solving real-world data challenges
Even if you donโt meet every requirement, having a learning mindset and technical curiosity can make a difference.
๐ Career Growth as a Data Engineer
A Data Engineer role can open doors to multiple high-demand career paths:
- Senior Data Engineer
- Cloud Data Architect
- Big Data Engineer
- Machine Learning Engineer
- Data Platform Specialist
With experience, you can move into architecture, AI, or cloud leadership roles.
๐ Work Locations & Flexibility
This Data Engineer position is available in:
- Bengaluru
- Hyderabad
- Pune
Working in these major tech hubs provides exposure to enterprise-scale data systems and industry-grade projects.
๐ก Why Consider This Data Engineer Opportunity?
โ Work on real-time machine data
โ Exposure to industrial and enterprise systems
โ Collaboration with global teams
โ Growth in cloud and big data technologies
โ Inclusive and innovation-driven environment
๐ Final Thoughts on the Data Engineer Role
The Data Engineer profession is one of the fastest-growing roles in the tech industry. Organizations need experts who can manage data efficiently, build pipelines, and create scalable architectures.
If you are passionate about data transformation, cloud systems, and engineering excellence, this Data Engineer opportunity can help you build a future-proof career.
Keep upgrading your skills, stay consistent, and apply confidently. Wishing you success in your journey toward becoming a successful Data Engineer! ๐
