Data Engineer

A Data Engineer is a technical professional focusing on designing, developing, and optimizing data systems, pipelines, and infrastructure. 

These specialists play a pivotal role in managing and making sense of large volumes of data, employing their skills in database design, data warehousing, big data technologies, and data analytics. 

They work closely with data analysts and data scientists, providing them with the data infrastructure necessary to extract insights and make data-driven decisions.

Data Engineers design and develop efficient data systems and architectures, including ETL (Extract, Transform, Load) processes and data pipelines. They are responsible for collecting and analyzing data from multiple sources, developing data mining and analytic solutions, and monitoring the performance of data systems to ensure optimal function. 

Unlock the power of data and drive our organization's success as a Data Engineer! 

Join our team and design robust data pipelines, build scalable data architectures, and enable data-driven decision-making that fuels our company’s growth.

This is an amazing opportunity to demonstrate your expertise in data mining, warehousing, big data technologies, and related fields. If you possess excellent problem-solving skills and can collaborate effectively with the team, we want you!

• Design and develop efficient data systems, including data pipelines and ETL processes.
• Collect, analyze, and integrate data from various sources to ensure accuracy, quality, and consistency.
• Develop data mining and analytic solutions to extract insights and support decision-making processes.
• Monitor and optimize the performance of data systems, ensuring scalability, reliability, and security.
• Develop and maintain data documentation, including dictionaries, schemas, and metadata.
• Assist in developing data models and databases that align with business needs and requirements.
• Troubleshoot data-related issues and provide timely resolutions.
• Develop reporting solutions using analytics tools and frameworks like Hadoop, Spark, and Tableau.
• Identify opportunities to improve data collection, storage, processing, and analysis techniques.
• Collaborate with cross-functional teams, including data scientists, analysts, and stakeholders, to understand business requirements and provide data-driven solutions.

• Enhanced data security and reliability through robust data engineering practices.
• Increased data collection and processing efficiency, resulting in improved data accessibility and availability.
• Improved data analysis accuracy and quality, enabling more reliable insights and decision-making.
• Enhanced data visualization capabilities, enabling effective communication of insights and trends.
• Cost savings through optimization of data systems and infrastructure, reducing resource utilization, and improving performance.

• Bachelor's degree in Computer Science, Mathematics, or a related field.
• Minimum of 3 years of professional experience in data engineering or a related role.
• Strong proficiency in database design, data mining, data warehousing, and big data technologies.
• Experience with analytics tools and frameworks like Hadoop, Spark, Tableau, etc.
• Excellent problem-solving skills and the ability to analyze complex data-related challenges.
• Strong communication and interpersonal skills to collaborate effectively with team members and stakeholders.
  
• Demonstrated ability to work independently and collaboratively in a fast-paced environment.
• Continuously stays updated with industry trends and best practices in data engineering.