Job description

Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. But clients need new business models built from analyzing customers and business operations at every angle to really understand them. With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks You must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future Job Title - Azure Data Engineer Location - Hartford, CT (Remote until COVID) Roles/ Responsibilities: Designing and coding Hadoop applications to analyze data collections. Develop and unit test ETL/ ELT data pipelines using ADF V2 and other components like Azure SQL, Azure SQL DW, ADLS Gen2 etc. Maintain and manage code with Azure DevOps. Implement secure integration with data sources using Azure Key Vault, Managed Identity, Private Links etc. Create data pipeline involving diverse systems such Azure SQL DB, Azure SQL DW, ADLS Gen2, Azure Databricks, On premise compute. Engage with onsite-offshore team for daily activities Status reporting - weekly and monthly basis. Document functional and technical design. Required Qualifications: Bachelor's degree in Software Engineering or Computer Science. 2-3 Experience working on ETL/ELT tools. Understanding and experience in Azure and Azure Data ecosystem Good to have programming language experience with .NET/Python or Scala/ Spark. 2-3 years' experience working with ADF. 2-3 years' experience working with Azure Data Lake. 2-3 years' experience working with Azure SQL DB or Azure Synapse. Experience in Machine Learning Studio, Stream Analytics, Event/IoT Hubs, and Cosmos. Nice to have Databricks experience. Nice to have Azure Logic Apps, Azure Blog Storage experience. Nice to have data migration experience from on prem to cloud. Knowledge of ADF Fault Tolerance, load balancing, security controls and distributed processing capabilities. 5-8 Years of work experience in ETL tools from designing and implementing data ingestion and processing pipelines using any big data technologies Minimum 3 years of experience in designing and implementing a fully operational solution on Snowflake Data Warehouse Excellent understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologies Should be having good presentation and communication skills, both written and verbal Ability to problem solve and able to convert the requirements to design Well versed in RDBMS databases Good communication skill Person must have good data analytical skills Hands on python programming is a plus Good knowledge and extensive experience in SQL Should have experience working with any of the cloud and able to load data from cloud storage Salary Range: $100K -- $150K Minimum Qualification Data Science & Machine Learning, Systems Architecture & Engineering, Software DevelopmentEstimated Salary: $20 to $28 per hour based on qualifications.

Requirements