Description

Key Responsibilities

As a Data Engineer, you will be responsible for designing, developing, and maintaining robust data pipelines using Azure Data Factory to facilitate seamless data integration across various platforms. Your core duties include writing complex SQL queries for data transformation, migration, and performance optimization within MS SQL Server environments. You will actively participate in end-to-end data migration projects, ensuring data integrity and consistency while adhering to enterprise standards. Furthermore, you will leverage Python scripts to automate data workflows, perform advanced data manipulation, and integrate disparate data sources. You are expected to collaborate with cross-functional teams to translate business requirements into scalable technical solutions while providing ongoing maintenance and troubleshooting for existing data infrastructure to ensure high availability and reliability of reporting systems.

Requirements

Job Requirements

To be successful in this role, candidates must possess a minimum of 5 to 15 years of hands-on experience in data engineering and database management. You are required to have deep technical proficiency in Azure Data Factory (ADF) and MS SQL Server, with a demonstrated ability to architect complex data warehouse solutions. Strong programming skills in Python are mandatory for automation and complex data processing tasks. Applicants should have a solid background in large-scale data migration initiatives, including schema mapping and data cleansing techniques. Excellent analytical skills, problem-solving capabilities, and the ability to work independently or within a team structure are essential. Additionally, candidates must be available for a face-to-face interview on October 26th to demonstrate their technical aptitude and professional communication skills in a real-world setting

Key Skills

Education

Bachelor's degree