Responsibilities
4 years of relevant experience in Pyspark Hadoop and Azure Databricks.
Proficiency in integrating transforming and consolidating data from various structured and unstructured data sources.
Good experience in SQL or native SQL query languages.
Strong experience in implementing Databricks notebooks using Python.
Good experience in Azure Data Factory ADLS Storage Services Synapse Serverless architecture Azure functions.
Strong knowledge of Data management principles.
Good experience in SSIS/ETL transformation processes.
Experience in Azure DevOps and CI/CD deployments
Strong problem solving and analytical skills.
Experience with Agile development methodologies.
Microsoft Azure certifications (such as DP203) are preferred.
This role will provide an opportunity for the candidate to work with a team of developers and designers that are responsible for developing applications on Azure Data tech stack
Ideal candidates need to be creative problem solvers selfmotivated and tenacious when tackling tough issues and will have to contribute to process improvements by bringing in new ideas and techniques to enhance the design and development process.
Collaboratively working with the project data team members on projects and tasks. Selfdriven learning of technologies
azure functions,azure data factory,azure,sql,azure devops,ssis/etl,agile development methodologies,adls,etl,pyspark,ci/cd,serverless architecture,microsoft azure certifications,python,devops,dp203,hadoop,synapse,azure databricks