
Azure Data Engineer 2 to 5 Years bangalore/kochi
8 hours ago
1. Job Title: Azure Data Engineer
Positions# 5
Experience: 2-5 Years
Requirement: Immediate
Location: Kochi/Bangalore
Overview:
developing, and maintaining data solutions on the Microsoft Azure platform. Expertise in Azure Data Factory, Azure
Databricks, and SQL are critical requirements.
**Responsibilities**:
- Work closely with stakeholders to understand business problems and requirements.
- Design, develop, and maintain data pipelines and workflows using Azure Data Factory (ADF) to extract,
transform, and load data from various sources into data repositories
- Implement data ingestion and transformation processes using Azure Databricks and Apache Spark to acquire
data from diverse sources, such as databases, APIs, flat files, or streaming data sources, and load it into target
data repositories.
- Develop and optimize SQL queries for data retrieval, analysis, and reporting purposes.
- Design and maintain data models, data schemas, and data dictionaries to ensure data consistency and accuracy.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and translate
them into technical solutions.
- Implement scheduling and monitoring mechanisms to ensure timely execution and availability of data pipelines.
- Troubleshoot and resolve data quality issues
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field
- 2-5 years of experience as a Data Engineer.
- Proven experience with Azure Data Factory (ADF), Azure Databricks, and SQL.
- Strong programming skills in Python or another programming language.
- Experience with data modelling and data quality management.
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a team.
- Excellent problem-solving and analytical skills
- Strong communication and presentation skills
- Ability to work independently and collaboratively in a team environment.
Good to have:
- Familiarity with data visualization tools such as Power BI, Tableau, Qlik Sense, etc.
- Experience in the airline domain.
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