4 Databricks Notebooks Jobs

Design, build, and maintain scalable and efficient data pipelines using Azure services such as Azure Data Factory (ADF), Azure Databricks, and Azure Synapse Analytics. Develop and optimize ETL/ELT workflows for ingestion, cleansing, transformation, Required Candidate profile 5-10 years of overall experience in Data Engineering with a minimum of 5 years in Azure-based data projects. Strong understanding of data warehouse architecture, data lakes, and big data frameworks

Responsibilities As a Databricks Data Engineer, you will: Design, construct, install, test, and maintain highly scalable data management systems using Azure Databricks. Develop data processing pipelines using Databricks Notebooks, Spark SQL, and other Databricks utilities. Integrate Azure Databricks with other Azure services such as Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Cosmos DB. Ensure optimal performance of data processing and extraction, transformation, and loading (ETL) processes. Collaborate with data architects to implement effective data models and schemas within the Databricks environment. Monitor data reliability, efficiency, and quality, and implement improvements as needed. Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs. Develop and maintain documentation related to data pipeline architecture, development processes, and data governance. Stay current with industry trends and developments in cloud computing, big data, and Azure Databricks. Skills Azure certifications such as Azure Data Engineer Associate or Azure Data Scientist Associate. Experience with machine learning frameworks and libraries. Knowledge of additional big data tools and platforms. Familiarity with data visualization tools and techniques. Qualification Bachelor's degree in Engineering or a related field. Proven experience as a Data Engineer with a focus on Azure Databricks and related Azure services. Strong programming skills in languages such as Python, Scala, or Java. Experience with Apache Spark and its integration with Databricks. Proficiency in SQL and experience with data modeling and data warehousing concepts. Familiarity with DevOps practices and CI/CD pipelines. Excellent analytical and problem-solving abilities. Effective communication skills and the ability to work collaboratively in a team environment. Career Level - IC2 Responsibilities As a Databricks Data Engineer, you will: Design, construct, install, test, and maintain highly scalable data management systems using Azure Databricks. Develop data processing pipelines using Databricks Notebooks, Spark SQL, and other Databricks utilities. Integrate Azure Databricks with other Azure services such as Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Cosmos DB. Ensure optimal performance of data processing and extraction, transformation, and loading (ETL) processes. Collaborate with data architects to implement effective data models and schemas within the Databricks environment. Monitor data reliability, efficiency, and quality, and implement improvements as needed. Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs. Develop and maintain documentation related to data pipeline architecture, development processes, and data governance. Stay current with industry trends and developments in cloud computing, big data, and Azure Databricks. Skills Azure certifications such as Azure Data Engineer Associate or Azure Data Scientist Associate. Experience with machine learning frameworks and libraries. Knowledge of additional big data tools and platforms. Familiarity with data visualization tools and techniques. Qualification Bachelor's degree in Engineering or a related field. Proven experience as a Data Engineer with a focus on Azure Databricks and related Azure services. Strong programming skills in languages such as Python, Scala, or Java. Experience with Apache Spark and its integration with Databricks. Proficiency in SQL and experience with data modeling and data warehousing concepts. Familiarity with DevOps practices and CI/CD pipelines. Excellent analytical and problem-solving abilities. Effective communication skills and the ability to work collaboratively in a team environment.

•Analysing Business requirement for completeness and accuracy. •Analysing Business requirements against the technical specifications. •Creating high level test scenarios. •Creating manual test cases. •Creating and monitoring the test pipelines. Required Candidate profile 5+ years related experience. Experience in Azure Databricks and SQL queries - ability to analyse data in a Data Warehouse environment Strong Python script writing skills. Experience with ETL testing.

Develops validation scripts for automated execution, while creating actionable data quality reports that measure trends over time. Creating and monitoring the test pipelines. Analysing test outputs and reporting defects. Required Candidate profile 5+ years related experience. Experience in Azure Databricks and SQL queries - ability to analyse data in a Data Warehouse environment Strong Python script writing skills. Experience with ETL testing.