Data Engineer - India

Quadyster

We specialize in web/mobile solutions, Artificial Intelligence, Machine Learning, Data Analytics, and Cloud Computing. We offer training sessions on various technology areas, including full-stack development, DevOps, cloud computing, and agile methodologies. Our primary customers are Fortune 100 commercial clients, including John Deere, the U.S. Department of Defense, and federal, state, and local governments. Quadyster won over 275 high-profile government contracts.

Quadyster

recruitment@quadyster.com

Position:

Location:

Must have

Expected Salary:

Job Summary:

• Working knowledge of data management and transformation processes
• Strong experience in Azure SQL, MS SQL, SQL Queries, Procedures, and database modeling
• Should be able to maintain, monitor, and support data processing engines like Apache Spark
• Should be familiar with Databricks & Spark Structured Streaming & Azure Functions
• Should be able to do data visualization using graph libraries like plotly, ggplot, and others
• Experience with Machine Learning and understanding of statistical models
• Experience with Azure Data Factory or related tools
• Experience in Microsoft Fabric and Azure Data Lake is a must

Good to have this:

• Hands-on experience with Python – Experience with R
• Experience with Power BI or related tools
• Ability to build high performing enterprise level CI/CD pipelines using Azure DevOps

Mandatory Requirements:

• Experience building CI/CD pipelines with Azure DevOps
• Familiarity with Agile project management and sprint planning.
• Ability to work independently as well as collaboratively on cross-functional teams.
• Highly skilled in interpersonal and verbal/written communications, presentations, analytical and problem-solving skills.
• Experience working with large-scale data and a candidate who is good with working in uncertain environments

Education:**

• Engineering in computer science; M.Tech is a plus.

Experience:**

• 3+ Years of experience in Data Engineering
• 1+ years of experience in Microsoft Fabric and Azure Data Lake.
• 1+ years of experience in Machine Learning.
• 5+ years of experience working in an Agile environment