Azure Data Engineer_Consultant

Requirements

• Design and implement end-to-end data solutions on Microsoft Azure, including data lakes, data warehouses, and ETL/ELT processes.
• Know various techniques (lakehouse, warehouse) and have experience implementing them.
• Evaluate and choose appropriate Azure services such as Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks (configuring, costing, etc), Unity Catalog, and Azure Data Factory. Should have deep knowledge and hands-on experience with these Azure Data Services.
• Ideally, knowledgeable with Microsoft Fabric.
• Experience with data governance, data privacy, and compliance requirements.
• Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Provide expertise and leadership to the development team implementing data engineering solutions.
• Collaborate with Data Scientists, Analysts, and other stakeholders to ensure data architectures align with business goals and data analysis requirements.
• Optimize cloud-based data infrastructure for performance, cost-effectiveness, and scalability.
• Analyze data workloads and recommend optimizations for performance tuning, cost management, and reducing complexity.
• Monitor and address any issues related to performance and availability in cloud-based data solutions.
• Experience in programming languages (e.g., SQL, Python, Scala). Hands-on experience using MS SQL Server, Oracle, or similar RDBMS platform.
• Experience in Azure DevOps, CI/CD pipeline development
• In-depth understanding of database structure principles
• Distributed Data Processing of big data batch or streaming pipelines.
• Problem-solving attitude, Highly self‐motivated, self‐directed, and attentive to detail, Ability to prioritize and execute tasks effectively.
• Attitude and aptitude are highly important at Hitachi; we are a very collaborative group.
• We would like to see a blend of the following skills. Not all of these are required, however, Databricks and Spark are highly desirable:
• Azure SQL Data Warehouse
• Azure Data Factory
• Azure Data Lake
• Azure Analysis Services
• Databricks/Spark
• Python or Scala (Python preferred)
• Data Modeling
• Power BI
• Database migration from legacy systems to new solutions
• Beware of scams
• Our recruiting team may communicate with candidates via our @hitachisolutions.com domain email address and/or via our SmartRecruiters (Applicant Tracking System) notification@smartrecruiters.com domain email address regarding your application and interview requests.
• All offers will originate from our @hitachisolutions.com domain email address. If you receive an offer or information from someone purporting to be an employee of Hitachi Solutions from any other domain, it may not be legitimate.

Additional Information

JD Title : Azure Data Engineer / Lead Experience level : 6+ years Location : Pune / Chennai / Hyderabad / Bangalore Shift : EST

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at Hitachisolutions? Share your experience