Data Engineer

You are detailed reviewing and analyzing structured, semi-structured and unstructured data sources for quality, completeness, and business value. · You design, architect, implement and test rapid prototypes that demonstrate value of the data and present them to diverse audiences. · You participate in early state design and feature definition activities. · Responsible for implementing robust data pipeline using Microsoft, Databricks Stack · Responsible for creating reusable and scalable data pipelines. · You are a Team-Player, collaborating with team members across multiple engineering teams to support the integration of proven prototypes into core intelligence products. · You have strong communication skills to effectively convey complex data insights to non-technical stakeholders. · You have an experience working collaboratively in cross-functional teams and manage multiple projects simultaneously Requirements Skills: · Advanced working knowledge and experience with relational and non-relational databases. · Experience building and optimizing Big Data pipelines, architectures, and datasets. · Strong analytic skills related to working with structured and unstructured datasets. · Hands-on experience in Azure Databricks utilizing Spark to develop ETL pipelines. · Strong proficiency in data analysis, manipulation, and statistical modeling using tools like Spark, Python, Scala, SQL, or similar languages. · Strong experience in Azure Data Lake Storage Gen2, Azure Data Factory, Databricks, Event Hub, Azure Synapse. · Familiarity with several of the following technologies: Event Hub, Docker, Azure Kubernetes Service, Azure DWH, API Azure, Azure Function, Power BI, Azure Cognitive Services. · Azure DevOps experience to deploy the data pipelines through CI/CD. Qualifications and Experience: · Minimum 5-7 years of practical experience as Data Engineer. · Bachelor’s degree in computer science, software engineering, information technology, or a related field. · Azure cloud stack in-production experience.