Offer summary

Qualifications:

Bachelor’s degree in computer science, Engineering, or a related field., 4+ years of experience with Big Data technologies, particularly on the Azure platform., Strong knowledge of Azure Data Factory, SQL, Databricks, and programming languages like Python or Scala., Experience with data integration and ETL processes, along with relevant certifications in Azure data services..

Key responsibilities:

Design, develop, and implement scalable data solutions on the Azure platform.

Collaborate with cross-functional teams to gather and analyze data requirements.

Implement data ingestion pipelines and ensure data integrity and reliability.

Monitor data pipelines, troubleshoot issues, and implement data quality measures.

Job description

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.