Data Engineer

Position Overview

We are seeking a Senior Data Engineer to design, develop, and implement large-scale data engineering solutions on Microsoft Azure. This role combines strong SQL and Python skills with hands-on Databricks and PySpark experience, working across modern cloud data platforms and traditional data stores to deliver reliable analytics solutions in an Agile, DevOps-driven environment. This is a hybrid position with a regular onsite presence.

Key Responsibilities

· Design, develop, and implement large-scale applications and data engineering solutions using Agile and DevOps practices

· Build and maintain data pipelines and data lake solutions on Microsoft Azure using services such as Event Hub, Data Factory, Databricks, Blob Storage, Azure Functions, and Power BI

· Develop data analytics solutions using SQL and PySpark

· Work with data platforms such as Teradata, Cassandra, MongoDB, Oracle, SQL Server, Snowflake, ADLS, and Azure Data Explorer

· Contribute to full-stack and cloud development efforts, preferably in Azure

· Support analytics and reporting needs across the business

Required Qualifications

· Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience

· Strong SQL skills for data analytics

· Python development experience

· Azure cloud development experience, including Event Hub, Data Factory, Databricks, Blob Storage, Power BI, and Azure Functions

· Databricks and PySpark experience

· Software development experience using Agile and DevOps practices, including large-scale applications or data engineering solutions

· Experience with data platforms such as Teradata, Cassandra, MongoDB, Oracle, SQL Server, Snowflake, ADLS, and Azure Data Explorer

· Data lake experience, primarily in Microsoft Azure

Preferred Qualifications

· Software solution development in a product model using Agile and DevOps practices

· Full-stack development experience, preferably in Azure

· Experience with Azure Stream Analytics, Azure Data Explorer, Azure DevOps, Azure Data Lake, and Azure Power Apps

Ideal Candidate

The ideal candidate is a hands-on data engineer with strong SQL, Python, and PySpark skills and deep Azure and Databricks experience. They build scalable, reliable data solutions, work comfortably across multiple data platforms, and collaborate well in an Agile, DevOps environment.