Company Overview

For over 25+ years, PRUDENT GLOBALTECH SOLUTIONS PRIVATE LIMITED has been a trusted provider of premium IT services, specializing in data sciences, cybersecurity, app development, and enterprise CRM. We work with best-of-breed technology firms and pride ourselves on tailoring solutions to meet our customers' needs. Join our innovative team and contribute to the success of our exciting projects!

Job Overview

We are seeking a highly skilled and experienced Data Engineer to join our dynamic team at PRUDENT GLOBALTECH SOLUTIONS PRIVATE LIMITED. As a Data Engineer, you will be responsible for designing, implementing, and maintaining our data solutions. This role requires strong technical expertise in SQL, ETL, ADF, and RDBMS, along with excellent problem-solving and analytical skills. The ideal candidate should have a minimum of 7 to 10 years of relevant experience in data engineering. This is a full-time position located in Hyderabad, Telangana, India.

Qualifications and Skills

• Bachelor's degree in Computer Science, Engineering, or a related field
• 10 years of experience in data engineering, with a focus on SQL, ETL, ADF, and RDBMS
• Solid understanding of data management principles and best practices
• Experience with data integration and data warehouse solutions
• Strong programming skills in SQL and proficiency in at least one scripting language (Python, Java, etc.)
• Hands-on experience with ETL tools and platforms, such as Azure Data Factory
• Familiarity with relational database systems and data modeling
• Excellent problem-solving and analytical skills
• Strong attention to detail and ability to prioritize tasks
• Excellent communication and collaboration skills

Roles and Responsibilities

• Design, develop, and maintain scalable data solutions to meet business requirements
• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to ensure data quality and integrity
• Implement and optimize complex ETL processes for data extraction, transformation, and loading
• Manage data pipelines and workflows, ensuring timely and accurate data delivery
• Perform data profiling, data cleansing, and data validation
• Troubleshoot and resolve data-related issues
• Develop and maintain documentation for data flows, data dictionaries, and data models
• Stay up-to-date with the latest trends and technologies in data engineering