Azure Data Engineer

Position Title: Jr & Sr. Azure Data Engineer

Exp : 3 to 10+ yrs

Start date: Immediate to 15Days

Location: Remote in India

Working Hours: 2pmIST - 10.30pmIST

Positions Open: 5

Skills:

• Azure Data Factory, Azure Data Lake, Azure SQL Data Warehouse, Azure Databricks, Azure Synapse, Spark, Python, Azure Analysis Services, Azure DevOps.
• Experience working in ETL process for at least 3 to 8+ years.
• Experience developing ETL process using Azure ETL tools for at least 2 to 5+ years.

Qualifications:

• Bachelors degree in information systems, Computer Science, Engineering, or related field.
• Proficient in designing and implementing data sourcing and transformation processes (ETL) in a large, distributed environment using cloud services e.g., Azure Data Factory, Azure Data Lake, Azure SQL Data Warehouse, Azure Databricks, Azure Synapse, Spark, Python, Azure Analysis Services and Azure DevOps.
• Hands-on experience with developing complex ETL pipelines that ingest and transform data from various source systems into Azure cloud operational databases and data warehouse environment.
• Proficient in developing and operationalizing various data distribution patterns such as APIs, event based, publish/subscribe models.
• Well versed with data models, source target definitions, identify/fixing discrepancies adhering to enterprise data governance standards.
• Adept with Azure DevOps-CI/CD (Continuous Integration and Continuous Deployment) and Test-Driven Development practices.
• Design, develop and implement scalable batch / real-time data pipelines to integrate data from a variety of sources into an Azure database / data warehouse and data lake.
• Experience migrating data lakes from on-premises to cloud.
• Experience with agile delivery using Azure DevOps.
• Experience monitoring performance of data workflows and infrastructure through use of monitoring tools and enabling alerts.
• Functional knowledge of data visualization tools.

Responsibilities:

• Design and implement data frameworks and pipelines to process data from on-premises and cloud data sources to feed into the Azure Cloud, monitor data quality and implement related controls.
• Evaluate existing designs, improve methods, and implement optimizations.
• Analyze and validate data sharing requirements within and outside data partners.
• Analyze and interpret collected data; identifying trends; writing reports and recommendations for internal or external clients.
• Use statistical practices to analyze current and historical data to make predictions, identify risks, and opportunities enabling better decisions on planned/future events.
• Work with business leadership to understand data requirements; propose and develop solutions that enable effective decision-making and drive business objectives.
• Prepare project deliverables that are valued by the business and present them in such a manner that they are readily understood by project stakeholders.
• Prepare advanced project implementation plans using Agile methodologies, which highlight milestones and deliverables, leveraging standards, practices, and work planning tools.
• Recognize potential issues and risks during the analytics project implementation and recommend mitigation strategies.
• Document best practices for data analysis, data engineering, and evangelize their usages.
• Work with stakeholders, including the executives as well as product engineering teams to assist with data-related technical issues and support their data infrastructure needs.
• Create data tools for data scientist team to assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data capabilities.
• Experience in offshore/ onsite coordination.

If you are interested kindlly share your resume and below detailes to ranjani@loopstreamtech.com , hr@loopstreamtech.com and career@loopstreamtech.com

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Regards,

Ranjani HR