Company Overview
Web Idea Solution LLP is a leading software development and IT consulting company based in India, specializing in full-stack solutions across various domains such as web design, development, ecommerce, and digital marketing. The company is committed to delivering innovative, cost-effective solutions tailored to meet the evolving trends of the IT industry. With a diverse team of seasoned developers and marketers, Web Idea Solution LLP caters to a wide range of clients, from startups to enterprises, providing seamless communication and customizable solutions.
Job Overview
We are seeking a skilled Data Engineer to join our dynamic team at Web Idea Solution LLP. This is a full-time, remote position based in Bangalore. The successful candidate will be responsible for designing and building robust data solutions, collaborating with various teams to understand and fulfill data needs. This role requires expertise in cloud-based data engineering technologies, ensuring effective data management and analysis.
Qualifications and Skills
- Proven experience in Python programming language, with strong problem-solving skills. (Mandatory skill)
- Extensive knowledge of PySpark for efficient processing and analysis of large data sets. (Mandatory skill)
- Hands-on experience with Azure Databricks for building data solutions at scale. (Mandatory skill)
- Proficiency in writing and optimizing SQL queries for data extraction and transformation processes.
- Experience with cloud platforms like AWS, Azure SQL, and GCP for managing and analyzing data.
- Ability to work collaboratively with cross-functional teams to ensure data solutions meet business needs.
- Strong analytical skills and the ability to translate business requirements into technical specifications.
- Demonstrated ability to implement best practices in data management, security, and governance.
Roles and Responsibilities
- Design and implement efficient data pipelines and architectures to support a wide range of data analytics needs.
- Develop and maintain documentation for data processes, ensuring data integrity and accessibility.
- Collaborate with data scientists and other teams to optimize data workflows and performance.
- Integrate, transform, and manage data from various sources to ensure comprehensive data accessibility.
- Monitor data systems and identify opportunities for performance improvements and cost efficiencies.
- Ensure data quality and consistency through thorough testing and validation of data outputs.
- Stay up-to-date with emerging data engineering technologies and tools to drive continuous innovation.
- Provide technical support and guidance to team members on data engineering best practices and solutions.