Hitachi Solutions
Information Technology And Services
AzureDataEngineer/Lead
“Azure Data Engineer / Lead at Hitachi Solutions. Skills: Azure Data Engineer, Azure, Data Lakes, Data Warehouses, ETL/ELT, Azure Databricks, Azure Data Factory, SQL, Python. Design and implement end-to-end data solutions on Microsoft Azure, including data lakes, data warehouses, and ETL/ELT processes.. 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 ”
What You'll Achieve.
Attain measurable results.
Industry & Context.
Problem-solving attitude
What They're Looking For.
Must Have
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., 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.
Nice to Have
Ideally, knowledgeable with Microsoft Fabric., Databricks and Spark are highly desirable
What You'll Do.
Design and implement end-to-end data solutions on Microsoft Azure
and ETL/ELT processes.
Evaluate and choose appropriate Azure services such as Azure SQL Database
Azure Synapse Analytics
Azure Data Lake Storage
Azure Databricks (configuring
and Azure Data Factory.
Optimize cloud-based data infrastructure for performance
Analyze data workloads and recommend optimizations for performance tuning
and reducing complexity.
Monitor and address any issues related to performance and availability in cloud-based data solutions.
Provide expertise and leadership to the development team implementing data engineering solutions.
Database migration from legacy systems to new solutions
How You'll Work.
Team & Collaboration
Collaborate effectively with cross-functional teams.; Collaborate with Data Scientists, Analysts, and other stakeholders to ensure data architectures align with business goals and data analysis requirements.
Communication Scope
Excellent communication and interpersonal skills
Process & Methodology
Ability to prioritize and execute tasks effectively.
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