Azure Cloud Data Engineer
10 hours ago
Job Title:
Azure Data Engineer
Location: [Pune - Hybrid]
Experience: 5+ years
Client & payroll :US Based Banking client
Job Description:
Responsibilities:
1. Data Solutions Design and Implementation:
o Design and implement modern data architectures using Azure Data Services such as Azure SQL Database, Azure Data Lake, Azure Data Factory, and Azure Databricks.
o Develop, construct, test, and maintain architectures such as databases and large-scale processing systems.
o Ensure solutions are scalable, resilient, and efficient to meet the needs of the business.
2. Data Integration and Orchestration:
o Utilize Azure Data Factory to create data pipelines for data transformation and integration.
o Implement data flows to connect operational systems, data for analytics and BI systems.
o Design and implement event-driven architectures using Azure Event Hubs and Azure Stream Analytics.
3. Data Storage and Optimization:
o Manage and optimize data storage using Azure Blob Storage, Azure Data Lake Storage, and other Azure storage options.
o Implement enterprise data warehouses in Azure Synapse Analytics to support business intelligence tools.
o Optimize data retrieval and perform tuning on SQL databases to ensure performance and scalability.
4. Security and Compliance:
o Implement security measures to protect data at rest and in transit.
o Ensure compliance with data governance and security policies.
o Manage and monitor data permissions and access within Azure environments.
5. Collaboration and Support:
o Work closely with data scientists, business analysts, and other stakeholders to ensure their data needs are met.
o Support migration of data from legacy systems to Azure cloud.
o Provide training and support to data users on new solutions.
Skills and Qualifications:
· Education:
Bachelor's degree in Computer Science, Engineering, or a related field.
·
Technical Skills:
o Strong proficiency with Azure cloud services
related to
data and analytics (Azure SQL, Data Lake, Data Factory, Databricks, etc.).
o Experience with SQL
and
data modelling
, as well as familiarity with
NoSQL databases
.
o Proficiency in programming languages such as
Python or Scala
.
o Knowledge of
data warehousing
and
data lake concepts
and technologies.
·
Analytical Skills:
Ability to analyze complex data structures and derive insights.
·
Communication Skills:
Excellent communication skills to effectively collaborate and convey complex solutions.
·
Problem-Solving:
Strong problem-solving abilities to address data-related challenges.
Experience:
Proven experience as a Data Engineer, preferably with a focus on Azure cloud technologies.
Hands-on experience designing and delivering scalable and secure data solutions in Azure.
Work Environment:
Office setting, with potential for remote work depending on company policy.
Collaborative environment with frequent project team interactions.
Requires staying updated with continuous innovations in cloud data technologies.
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