Urgent! Cognizant - Azure Data Engineer - Python Job Opening In Pune – Now Hiring cognizant
<p>The candidate must be excited by the prospect of optimizing- or even re-designing data pipelines to support the modernization of data platform</p><p><br/></p><p>- Be curious and eager to work across a variety and volume of data.<br/><br/></p><p>- Design and build scalable and reliable data pipelines with the latest tech stack.<br/><br/></p><p>- Facilitate real-life actionable use cases leveraging- our data with a user- and product-oriented mindset.<br/><br/></p><p>- Support teams without data engineers with building decentralized data solutions and product integrations.<br/><br/></p><p>- Conceptualize, design and implement improvements to ETL processes and data through independent communication with data-savvy stakeholders.<br/><br/></p><p>- Designing, building, and operating a Data Lake or Data Warehouse.<br/><br/></p><p>- Knowledge to ingest, cleanse, transform and load data from varied data sources in the above Azure Services (Databricks and DataFactory)<br/><br/></p><p>- Strong knowledge of Medallion architecture<br/><br/></p><p>- Consume data from source with different file format such as XML, CSV, Excel, Parquet, JSON<br/><br/></p><p>- Strong problem-solving skill such as backtracking of dataset, data analysis etc.<br/><br/></p><p>- Strong Knowledge of in advanced SQL techniques for carrying out data analysis as per client requirement.<br/><br/></p><p>Mandatory Skills :<br/><br/></p><p>The candidates need to understand different data architecture patterns and parallel data processing.<br/><br/></p><p>- S/he should be proficient in using the following services to create data processing solutions :<br/><br/></p><p>1.
Azure Databricks<br/><br/></p><p>2.
Azure Data Lake Storage<br/><br/></p><p>3.
Azure Data Factory<br/><br/></p><p>- Strong Knowledge in :<br/><br/></p><p>1.
PySpark<br/><br/></p><p>2.
SQL<br/><br/></p><p>- Should be familiar to be built data pipelines and data analysis using Python<br/><br/></p><p>Desired Skills :<br/><br/></p><p>- Ability to query the data from serverless SQL Pool in Azure Synapse Analytics.<br/><br/></p><p>- Knowledge of Azure DevOps.<br/><br/></p><p>- Knowledge to configure any dataset with Vnet, Subnet Networks<br/><br/></p><p>- Knowledge of Microsoft Entra ID, to create App registration for single and multitenant for security purpose.</p> (ref:hirist.tech)
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Unlock Your Cognizant Azure Potential: Insight & Career Growth Guide
Real-time Cognizant Azure Jobs Trends in Pune, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Cognizant Azure in Pune, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 27135 jobs in India and 789 jobs in Pune. This comprehensive analysis highlights market share and opportunities for professionals in Cognizant Azure roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! cognizant is currently hiring and seeking a Cognizant Azure Data Engineer Python to join their team. Feel free to download the job details.
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The fundamental ethical values are:The average salary range for a Cognizant Azure Data Engineer Python Jobs India varies, but the pay scale is rated "Standard" in Pune. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Cognizant Azure Data Engineer Python typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Cognizant Azure Data Engineer Python interview at cognizant, research the company, understand the job requirements, and practice common interview questions.
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