Databricks Data Engineer

Hitachi Solutions; Pune District; In loco; INR 2.500.000 - 4.000.000; Tempo pieno

Vantaggi offerti da questo lavoro

Performance bonuses

Regular trainings

Competitive compensation

Descrizione del lavoro

Hitachi Solutions, Ltd. is seeking a highly experienced Data Engineer to join our product organization in Pune, India.

The role emphasizes Spark and Delta/Data Lake tech, designing and maintaining complex data pipelines and APIs for business-critical analytics. You will collaborate with analytics, data science, and engineering teams, bring strong cloud experience (Azure preferred; AWS/GCP acceptable), and stay current with fast-moving data engineering tech while enjoying autonomy in a dynamic

Competenze

• 5+ years of Data Engineering experience including 4+ years designing and building Databricks pipelines.
• Experience with Python, PySpark, SparkSQL; Scala is a plus.
• Hands-on with Big Data pipelines, cloud data lakes (Delta Lake), and API products.

Mansioni

• Collaborate with engineers to architect and implement complex data systems.
• Design, develop, and maintain data pipelines for large-scale analytics.
• Support analytics, data science, and engineering teams with data needs.
• Dedicate time to stay updated on data engineering advances and tools.
• Operate with autonomy to advance the organization’s data maturity.

Conoscenze

Data Engineering

Databricks

Python

PySpark

SparkSQL

Airflow

Data Factory

Big Data

SQL

Cloud Platforms

Kafka

Strumenti

Databricks

DAG Tools

SQL/ORM

Descrizione del lavoro

Hitachi Solutions, Ltd., headquartered in Tokyo, Japan, is a core member of Information & Telecommunication Systems Company of Hitachi Group and a recognized leader in delivering proven business and IT strategies and solutions to companies across many industries. The company provides value-driven services throughout the IT life cycle from systems planning to systems integration, operation and maintenance. Hitachi Solutions delivers products and services of superior value to customers worldwide through key subsidiaries in the United States, Europe, China and India. The flagship company in the Hitachi Group's information and communication system solutions business, Hitachi Solutions also offers solutions for social innovation such as smart cities.

Our Competitive Edge

We work together in a dynamic and rewarding work environment. We have an experienced leadership team, excellent technology and product expertise, and strong relationships with a broad base of customers and partners.

We offer competitive compensation and benefits package, regular performance review, performance bonuses, and regular trainings.

What is it like working here?

We pride ourselves on being industry leaders and providing an enjoyable work environment where our people can grow personally and professionally. Hitachi is the place people can develop skills they’re excited about. The following are our commitments to employees.

• 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

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.

In this role, you will help design, develop, enhance, and maintain complex data pipeline and API products that manage business-critical operations and large-scale analytics. We are looking for applicants who demonstrate a capability to learn new concepts quickly and bring a robust background in data engineering or software engineering expertise.

Responsibilities

• 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

Qualifications & Skills

• 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 Information

• 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.