Azure Data Engineer(etl + Adf + Adl) @ Bahwan CyberTek

Job Description

Job Title: Azure Data Engineer(ETL + ADF + ADL) Location: Hyderabad, Telangana
Experience: 8-10 Years
NP: Immediate
Employment Type: Full-Time

Job Summary:

Yash Technologies is looking for a passionate and experienced Azure ETL + ADF +
The ideal candidate should have solid expertise in Python,Spark,Azure Databricks,Azure devops,Azure Data Factory,Azure Synapse,azure data lake,Azure SQL Data Warehouse,Azure Analysis Services,ETL process,Azure ETL tools and the ability to work effectively in an agile, collaborative environment.

Primary Skills:

Python,Spark,Azure Databricks,Azure devops,Azure Data Factory,Azure Synapse,azure data lake,Azure SQL Data Warehouse,Azure Analysis Services,ETL process,Azure ETL tools

Primary Skill:

ETL(Extract, Transform, Load)
Secondary Skill 1 - Azure Data Factory (ADF)
Secondary Skill 2 Azure Data Lake (ADL)
Secondary Skill 3 Azure DevOps

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 8+ years
• Experience developing ETL process using Azure ETL tools for at least 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

Job Classification

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Keyskills:   Azure Data engineer Pyspark Azure Analytics Azure Data Warehouse Azure Databricks SQL Azure ETL Tool SQL Azure Data Factory Azure Synapse spark Azure Data Lake Azure Analysis Services Python