Company Description

AiEdge Analytics is a passionate team of certified experts with over 15 years of industry experience in Microsoft Technologies for Data Engineering, Data Analytics, and Business Intelligence. We deliver end-to-end analytics solutions by transforming raw data into valuable insights that drive innovation. Our mission is to empower clients through expertise in Microsoft Data Analytics and AI-driven, cutting-edge solutions. We prioritize strong data security and lasting partnerships, providing high-quality, cost-optimized solutions to create a positive impact across industries and society.

We at AiEdge Analytics are looking for an Azure Data Engineer on Contract basis

Experience: 3-7 years

Contract Tenure: 3-6 months extendable based on performance.

Role Description

The Azure Data Engineer will be responsible for designing and developing data engineering solutions, creating data models, building and maintaining ETL pipelines, and managing data warehousing solutions. The role involves using Microsoft technologies to perform data analytics and supporting the end-to-end data lifecycle. The engineer will work closely with cross-functional teams to ensure insights are delivered effectively.

Qualifications

·      Proficiency in Data Engineering with Extract Transform Load (ETL) processes and Azure Data Warehousing

·      Experience with Microsoft Data Analytics tools and technologies is a plus

·      Excellent problem-solving skills and attention to detail

·      Ability to work collaboratively in a team environment

Skills Must Have:

·      Experience in Azure cloud stack Production environment.

·      Experience in Azure Data Lake Storage Gen2, Azure Data Factory, Databricks, Event Hub, Azure Synapse.

·      Experience in building and optimizing Big Data pipelines, architectures, and datasets.

·      Advanced working knowledge and experience with relational and non-relational databases.

·      Strong analytic skills related to working with structured and unstructured datasets.

·      Strong proficiency in data analysis, manipulation, and statistical modelling using tools like Spark, Python, Scala, SQL, or similar languages.

·      Azure DevOps experience to deploy the data pipelines through CI/CD.

If you're driven by challenges and dynamic environment, let’s connect! Share your resume at [email protected]