Job Description
Job Description Experience in designing and hands-on development in cloud-based analytics solutions.
Having 1-2 years of experience in Azure cloud services Having experience in Azure resources like Azure Data Factory, Azure Synapse Analytics, Azure Blob, ADLS, Azure Data Lake Storage Gen1 and Gen2, Logic Apps, Key Vault, Azure SQL DB and Synapse Hands-on experience in Azure Data factory and its Core Concept's like Linked Services, Datasets.
Data Flows, Pipelines, Activities and Triggers, Integration Runtime, Self-Hosted Integration Runtime. Designed and developed data ingestion pipelines from on-premises to different layers into Azure Built Dataflow transformations.
Worked on Copy Data activity, Get Metadata Activity, look up, Filter, Store Procedure, For-each, IF and execute Pipeline activities Implemented dynamic pipeline to extract the multiple files into multiple targets with the help of single pipeline Strong Knowledge on Parameterization of Linked Services, Datasets Pipelines, Activities.
Pipeline execution methods (Debug vs Triggers). Experience in scheduling the pipelines and monitoring the pipelines through the monitor tab. Experience in creating alerts on the pipelines level and activity level.
Stack (Including Compute, Function App, Blobs, Resource Groups, Azure SQL, Cloud Services, and ARM), Focusing on high - availability, fault tolerance, and auto-scaling.
Performed custom activity using python, for unsupported task in Azure Data Factory V2.
Customer support:
Strong customer engagement skills to understand customer needs for Analytics solutions fully. Experience in leading small and large teams in delivering analytics solutions for customers Have demonstrated ability to define, develop and implement data models and supporting policies, standards, and guidelines. Strong problem solving and troubleshooting skills
Having 1-2 years of experience in Azure cloud services Having experience in Azure resources like Azure Data Factory, Azure Synapse Analytics, Azure Blob, ADLS, Azure Data Lake Storage Gen1 and Gen2, Logic Apps, Key Vault, Azure SQL DB and Synapse Hands-on experience in Azure Data factory and its Core Concept's like Linked Services, Datasets.
Data Flows, Pipelines, Activities and Triggers, Integration Runtime, Self-Hosted Integration Runtime. Designed and developed data ingestion pipelines from on-premises to different layers into Azure Built Dataflow transformations.
Worked on Copy Data activity, Get Metadata Activity, look up, Filter, Store Procedure, For-each, IF and execute Pipeline activities Implemented dynamic pipeline to extract the multiple files into multiple targets with the help of single pipeline Strong Knowledge on Parameterization of Linked Services, Datasets Pipelines, Activities.
Pipeline execution methods (Debug vs Triggers). Experience in scheduling the pipelines and monitoring the pipelines through the monitor tab. Experience in creating alerts on the pipelines level and activity level.
Stack (Including Compute, Function App, Blobs, Resource Groups, Azure SQL, Cloud Services, and ARM), Focusing on high - availability, fault tolerance, and auto-scaling.
Performed custom activity using python, for unsupported task in Azure Data Factory V2.
Customer support:
Strong customer engagement skills to understand customer needs for Analytics solutions fully. Experience in leading small and large teams in delivering analytics solutions for customers Have demonstrated ability to define, develop and implement data models and supporting policies, standards, and guidelines. Strong problem solving and troubleshooting skills
💡 Quick Summary
Seeking a career-building opportunity? The Azure SQL DBA position is now open for candidates interested in the Database Administrator sector. This role in Hyderabad offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Database Administrator is a plus.