Hitachi
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Pune · On-site · 5-8 Yrs · Oct 14
Enterprise Software & Network Solutions · 10000+ Employees · Tokyo, Japan
Hitachi, which means "risen sun," is looking for a new dawn of profits from its galaxy of businesses. The company's Information & Telecommunications Systems (semiconductors, servers, mainframes, ATMs) brings in the most revenue with Social Infrastructure (elevators, escalators, industrial machinery) and High Functional Materials (wire, cables, specialty steel, circuit boards) up next. Its Electronic Systems & Equipment segment includes specialized manufacturing equipment and power tools. The company is also a world leader in consumer goods ranging from TVs to washing machines and in power generation equipment. Hitachi also has operations in financial services, automotive systems, and construction machinery.
Hiring: Engineering
What employees say
+ work life balance - best
− Rewards & Recognization - worst
More reviews on the company profile.
Interview experience · Software Engineer
It was medium level with one DS round medium leetcode, one LLD HLD round: design e commerce platform that also handles inventory and user behavior and one culture fit round. overall it was a decent experience
Average difficulty · India · 113 reports
More interview insightsJob description
Overview
Company Description
Responsibilities
- We recognize our profitability and project success comes from our team—great people doing great things. As such, we pursue profitable growth and expanded opportunities for our team.
- We offer challenging and diverse work across multiple industries and reward creativity and entrepreneurial innovation.
- We respect, encourage, and support each individual needs to continually learn and grow personally and professionally. We are committed to fostering our people.
- We listen. Every employee has something important to say that can contribute to enriching our environment.
- We compensate fairly. And while employees might come for the paycheck, they stay for the people. Our people are the reason we are exceptional. This is something we never forget.
- Job Description:
- We are looking for a highly experienced Data Engineer to join our product organization in a full-time role. This position focuses on Big Data systems design and data architecture, with a special emphasis on Spark and Delta/Data Lake technology.
- Collaborate: Work collaboratively with other engineers to architect and implement complex systems with minimal oversight, while partnering with team leadership to identify how best to improve and expand platform capabilities.
- Build & Design: Design, develop, and maintain complex data pipeline products that support business-critical operations and large-scale analytics applications.
- Support the Team: Partner with analytics, data science, and engineering teams to understand and solve their unique data needs and challenges.
- Continuous Learning: Dedicate time to staying current with the latest developments in the space and embrace new concepts to keep up with fast-moving data engineering technology.
- Autonomy: Enjoy a role that offers strong independence and autonomy while contributing to the technical maturity of the organization.
Qualifications
- Experience: 5+ years of Data Engineering experience, including 4+ years designing and building Databricks data pipelines is essential. While Azure cloud experience is preferred, we are happy to consider experience with AWS, GCP, or other cloud platforms.
- Technical Stack:
- 4+ years of hands-on experience with Python, Pyspark, or SparkSQL is key. Experience with Scala is a plus.
- 4+ years of experience with Big Data pipelines or DAG Tools (such as Airflow, Dbt, Data Factory, or similar).
- 4+ years of Spark experience, especially with Databricks Spark and Delta Lake.
- 4+ years of hands-on experience implementing Big Data solutions in a cloud ecosystem, including Data/Delta Lakes.
- 5+ years of relevant software development experience, including Python 3.x, Django/Flask Frameworks, FastAPI (or other standard industry API), and relational databases (SQL/ORM).
- Additional Skills (Great to have):
- Experience with Microsoft Fabric specifically with Pyspark on Fabric and Fabric Pipelines
- Experience with conceptual, logical, and/or physical database designs.
- Strong SQL experience, specifically writing complex, highly optimized queries across large volumes of data.
- Strong data modeling/profiling capabilities using Kimball/star schema methodology as well as medallion architecture.
- Professional experience with Kafka, EventHub or other live streaming technologies.
- Familiarity with database deployment pipelines (e.g., dacpac or similar).
- Experience with unit testing or data quality frameworks.
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Job application FAQ
Last updated 24 October 2026
- How do I apply for Databricks Data Engineer at Hitachi?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Hitachi may attach structured assessments to interview rounds after you apply.
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- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Databricks Data Engineer remote or on-site in Pune, Maharashtra?
- This listing is marked on_site with location Pune, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Databricks Data Engineer role at Hitachi?
- This is a mid-level Databricks Data Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.