Data Engineer

• Handson experience designing and developing cloudnative data integrations on Azure/AWS clouds. (ADLS ADF Azure Databricks & Data Lake Table Azure SQL Key Vault Azure Synapse Power BI AWS Glue)
• Indepth knowledge of the scripting languages SparkSQL/ Pyspark/TSQL/Python.
• Experience with source control technologies (such as GITHUB Azure DevOps etc.)
• Can communicate skilfully with both technical developers architects and business
• stakeholders.
• Experience in integrating various data sources
• Handson experience on Datawarehouse / Azure Synapse Analytics / AWS Redshift/ Snowflake
• Experience in working with scripting languages such as YAML PowerShell Terraform
• etc.
• Experience in optimizing the performance and cost for key Cloud services
• Good at problem solving and troubleshooting
• Ability to architect complex solutions
• Should be able to lead/guide other team members technically

powershell,spark,spark-sql,ability to architect complex solutions,terraform,pyspark,azure databricks & data lake table,azure synapse,optimizing the performance and cost for key cloud services,source control technologies,azure/aws clouds,t-sql,azure synapse analytics,leading/guiding other team members technically,adf,integrate designs and wireframes,azure sql,python,yaml,azure databricks,power bi,azure devops,aws redshift,adf (azure data factory),integrating various data sources,scripting languages,aws glue,snowflake,cloud-native data integrations,adls,datawarehouse,datalake,key vault,devops,problem solving and troubleshooting,github