Hitachi Solutions Career Opportunity:
Hitachi Solutions is seeking an experienced Azure Data Engineer to join their Pune team. This full-time role involves delivering modern data solutions, working with cutting-edge Azure technologies, and collaborating with global teams to create impactful business outcomes. If you’re passionate about data engineering and problem-solving, apply today! Visit Kaabil Jobs for more information.
Overview
• Job Position: Azure Data Engineer
• Job Location: Pune, Maharashtra, India
• Type: Full-Time
• Experience Required: 4-8 years in data engineering, Azure technologies, and related tools
• Application Channels: Hitachi Solutions website
Qualifications
• Hands-on experience in data architecture, data science, or a combination of both
• Strong proficiency in Azure services: Azure Data Lake, Azure Data Factory, Azure Data Warehouse, and Databricks/Spark
• Proficient in MS SQL Server, Oracle, or similar RDBMS platforms
• Experience with distributed data processing, big data pipelines, and streaming data
• Familiarity with data modeling, data visualization tools (Power BI, Tableau), and analytics
Skills Required
• Expertise in Azure technologies (ADF, ADL, ADW)
• Proficiency in Python or Scala (Python preferred)
• Data modeling and database migration experience
• Strong problem-solving and analytical skills
• Self-motivated with excellent prioritization and task execution abilities
Roles and Responsibilities
• Collaborate with Teams: Work closely with clients and internal teams to deliver high-quality data solutions.
• Develop Azure Solutions: Provision, configure, and develop solutions using Azure services such as ADL, ADF, ADW, and Databricks.
• Manage Data Pipelines: Build and maintain big data batch and streaming pipelines to process and analyze data.
• Support Machine Learning Projects: Develop research and production pipelines for machine learning initiatives.
• Perform Database Migrations: Migrate data from legacy systems to new solutions while maintaining data integrity.
• Create Data Models: Design conceptual, logical, and physical data models using tools like ER Studio or Erwin.
Job Description Brief:
The Azure Data Engineer role at Hitachi Solutions offers an exciting opportunity to design and deliver innovative data solutions. You will work on challenging projects involving Azure services, big data processing, and machine learning, helping clients achieve their business goals.
Job Description:
• Position: Azure Data Engineer
• Location: Pune, Maharashtra, India
• Type: Full-Time
• Department: Data Engineering and Analytics
• Key Responsibilities:
• Develop Azure-based data solutions
• Build scalable and secure big data pipelines
• Collaborate on machine learning and data visualization projects
How to Prepare for an Azure Data Engineer Interview at Hitachi Solutions?
Important Interview Preparation Tips
• Focus on Azure Expertise: Highlight your experience with Azure Data Factory, Databricks, and other Azure tools.
• Showcase Your Problem-Solving Skills: Be prepared to discuss real-world challenges you’ve solved in data engineering.
• Emphasize Team Collaboration: Share examples of how you’ve worked with cross-functional teams.
Study Material for Azure Data Engineer Interview
1. Books:
• “Azure Data Engineering Cookbook” by Dmitry Anoshin
• “Azure Databricks for Data Engineers” by Anindita Basak
2. Top Online Courses:
• Microsoft Certified: Azure Data Engineer Associate (Udemy)
• Data Engineering on Microsoft Azure (Coursera)
3. Websites:
• Microsoft Learn for Azure data services
• Databricks Academy for Spark-based solutions
Technical Questions and Answers for Azure Data Engineer Interview
1. How do you build scalable data pipelines in Azure?
Answer: I leverage Azure Data Factory and Databricks for creating scalable pipelines. I use ADF for orchestrating workflows and Databricks for processing large datasets with Spark.
2. What are the key differences between Azure Data Lake and Azure Data Warehouse?
Answer: Azure Data Lake is designed for storing unstructured or semi-structured data, while Azure Data Warehouse is optimized for structured data and analytical queries.
3. Describe a challenging project you handled with Databricks.
Answer: In one project, I optimized a data pipeline processing terabytes of log data daily. By implementing Delta Lake, I reduced query times by 30%.
Non-Technical Questions and Answers for Azure Data Engineer Interview
1. Why do you want to work at Hitachi Solutions?
Answer: Hitachi Solutions’ focus on innovation and collaboration aligns with my career goals. I’m excited about contributing to cutting-edge projects in a global environment.
2. How do you prioritize tasks during tight deadlines?
Answer: I use project management tools to prioritize based on deadlines and impact. Clear communication with stakeholders ensures alignment on priorities.
3. What motivates you to pursue a career in data engineering?
Answer: I am passionate about solving real-world problems using data and technology. Data engineering allows me to create meaningful business insights and drive innovation.
Use the provided links to apply directly on the Hitachi Solutions website. Best of luck with your application!