Data Engineer
Experience Required: 4 to 6Years Mandate
Mode of work: Remote
Skills Required: Azure Data Factory, SQL, Databricks, Python/Scala
Notice Period : Immediate Joiners/ Permanent(Can join within July 4th 2025 )
- Design, develop, and implement scalable and reliable data solutions on the Azure platform.
- Collaborate with cross-functional teams to gather and analyze data requirements.
- Design and implement data ingestion pipelines to collect data from various sources, ensuring data integrity and reliability.
- Perform data integration and transformation activities, ensuring data quality and consistency.
- Implement data storage and retrieval mechanisms, utilizing Azure services such as Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
- Monitor data pipelines and troubleshoot issues to ensure smooth data flow and availability.
- Implement data quality measures and data governance practices to ensure data accuracy, consistency, and privacy.
- Collaborate with data scientists and analysts to support their data needs and enable data-driven insights.
Requirements
- Bachelor’s degree in computer science, Engineering, or a related field.
- 4+ years of experience with Big Data technologies like Azure
- Strong knowledge and experience with Azure cloud platform, Azure Data Factory, SQL, Databricks, Python/Scala.
- Experience in SQL and experience with SQL-based database systems.
- Hands-on experience with Azure data services, such as Azure SQL Database, Azure Data Lake, and Azure Blob Storage.
- Experience with data integration and ETL (Extract, Transform, Load) processes.
- Strong analytical and problem-solving skills.
- Good understanding of data engineering principles and best practices.
- Experience with programming languages such as Python or Scala.
- Relevant certifications in Azure data services or data engineering are a plus.