We are seeking a skilled Data Engineer to join our client’s team and play a pivotal role in building and optimizing data systems that drive business decisions and innovation.
Role Overview
As a Data Engineer, you will design, develop, and maintain scalable data pipelines and architectures. You will work closely with cross-functional teams, including data scientists and analysts, to ensure seamless data integration, quality, and security. This role is ideal for someone passionate about leveraging data to unlock insights and support organizational goals.
Key Responsibilities
• Design, build, and maintain robust ETL pipelines for efficient data extraction, transformation, and loading.
• Develop and optimize data storage solutions such as data lakes and warehouses to support analytics and machine learning initiatives.
• Ensure data quality through cleaning, validation, and error handling processes.
• Collaborate with stakeholders to gather requirements and deliver tailored data solutions.
• Implement data security measures to comply with privacy regulations and industry standards.
• Monitor the performance of data systems, troubleshoot issues, and implement improvements.
• Document processes, workflows, and best practices for knowledge sharing across teams.
Qualifications
• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Proven experience in designing and managing scalable data systems.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong SQL skills for querying databases and building models.
• Familiarity with big data tools like Hadoop, Spark, or Kafka.
• Experience with cloud platforms (AWS, Azure, or Google Cloud) is a plus.
• Solid understanding of ETL processes and data modeling techniques.
Skills
• Strong problem-solving abilities with attention to detail.
• Excellent communication skills to collaborate with technical and non-technical teams.
• Ability to work in a fast-paced environment while managing multiple priorities.
Why Join?
This is an exciting opportunity to work on cutting-edge projects that make a tangible impact. Our client offers a collaborative work environment with opportunities for professional growth and development.
Apply now to be part of a team that values innovation, excellence, and teamwork!
- They can make data-driven decisions.
- Data can help create smarter products and services..
- Companies can use data to improve business processes..
- They could create a new revenue stream via data monetization.
Companies often outsource such data roles. They hire external consultants to devise a plan that aligns with the organizational strategy.
Once a firm has a data strategy in place, it is time to ensure data availability. This is when a data architect comes into play.
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