Only 24h Left: Sr Analyst I Data Engineering

What you ll do Work closely with source data application teams and product owners to design implement and support analytics solutions that provide insights to make better decisions Implement data migration and data engineering solutions using Azure products and services Azure Data Lake Storage Azure Data Factory Azure Functions Event Hub Azure Stream Analytics Azure Databricks etc and traditional data warehouse tools Perform multiple aspects involved in the development lifecycle design cloud engineering Infrastructure network security and administration ingestion preparation data modeling testing CICD pipelines performance tuning deployments consumption BI alerting prod support Provide technical leadership and collaborate within a team environment as well as work independently Be a part of a DevOps team that completely owns and supports their product Implement batch and streaming data pipelines using cloud technologies Senior level experience with data bricks and other analytics tools for moving and transforming data from one platform to another Senior level experience with Azure and its services Senior level experience in leading others Senior level experience in formulating solutions and recognizing problems Ability to work with a shift that coincides with the CST time zone Ability to work with a geographically dispersed team Ability to work with Agile methodologies Good written and oral skills All you ll need for success 3 years software solution development using agile DevOps operating in a product model that includes designing developing and implementing large-scale applications or data engineering solutions 3 years data analytics experience using SQL 2 years of cloud development and data lake experience prefer Microsoft Azure including Azure EventHub Azure Data Factory Azure Databricks Azure DevOps Azure Blob Storage Azure Data Lake Azure Power Apps and Power BI Combination of Development Administration Support experience in several of the following tools platforms required Scripting Python PySpark Unix SQL Data Platforms Teradata SQL Server ADLS Azure Data Explorer Administration skills a plus Azure Cloud Technologies Azure Data Factory Azure Databricks Azure Blob Storage Azure Data Lake Azure Power Apps and Azure Functions CI CD GitHub Azure DevOps Terraform BI Analytics Tool Stack - Cognos Power BI 5 years software solution development using agile dev ops product model that includes designing developing and implementing large-scale applications or data engineering solutions 3 years data analytics experience using SQL 3 years full-stack development experience preferably in Azure 3 years of cloud development and data lake experience prefer Microsoft Azure including Azure EventHub Azure Data Factory Azure Functions ADX ASA Azure Databricks Azure DevOps Azure Blob Storage Azure Data Lake Azure Power Apps and Power BI Airline Industry Experience Skills Licenses Certifications Expertise with the Azure Technology stack for data management data ingestion capture processing curation and creating consumption layers Azure Development Track Certification preferred Spark Certification preferred Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services such as false websites or through unsolicited emails claiming to be from the company These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process nor ask a job seeker to purchase IT or other equipment on our behalf More information on employment scams is available