Data Engineer(6+ years)
Inforizon Corporate Services Private Limited (company site, opens in a new tab)6+ yrsRemoteDirect career pageEst. 12–20 LPA
Posted on 31 Aug
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize ETL data pipelines using Azure Data Factory (ADF).
- Build and maintain scalable data processing solutions within Databricks environment using Spark.
- Implement and manage efficient data models, ensuring performance in cloud-based Azure systems.
Minimum Requirements
- 6+ years of professional experience in data engineering or related roles.
- Strong hands-on experience with Azure Data Factory, Databricks, and Data Modeling (including OLAP, OLTP, dimensional models).
- Proficiency in SQL, NoSQL databases, and programming languages such as Python, SQL, or Scala.
- Strong understanding of Azure Cloud services including Synapse, Storage, and experience with Apache Spark.
Ideal Candidate Profile
- Experienced in building and optimizing large-scale, cloud-based data pipelines with measurable performance improvements.
- Able to collaborate effectively with cross-functional teams including data scientists and business stakeholders, translating complex data requirements into technical solutions.
- Comfortable working with end-to-end data workflows including data transformation, integrity, security, and compliance in Azure environments.