As a specialist recruiter, I am looking for driven and skilled Data Engineers to partner with to secure their next role. As a Data Engineer, you will have the opportunity to work on complex data infrastructure, build scalable data pipelines, and play a pivotal role in helping my clients transform data into actionable insights.Key Responsibilities:Design, develop, and maintain scalable data pipelines to process large volumes of structured and unstructured data.Collaborate with data scientists, analysts, and other teams to understand data needs and ensure that data is easily accessible and usable.Optimize data storage and retrieval processes to ensure high performance and efficiency.Build and manage data warehouses and lakes, ensuring data quality, integrity, and security.Implement data integration strategies to bring together data from multiple sources (e.g., internal systems, third-party platforms, cloud services).Work with cloud platforms like AWS, GCP, or Azure to manage data infrastructure.Monitor and troubleshoot data issues, ensuring data pipelines are running smoothly and on schedule.Continuously evaluate and implement best practices for data engineering and stay up-to-date with the latest tools, technologies, and trends in the field.Document data workflows, processes, and systems to ensure clear communication within the team and across the organization.Requirements:Proven experience as a Data Engineer or similar role in the tech industry.Strong proficiency in programming languages such as Python, Java, or Scala.Experience with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra).Familiarity with big data technologies like Hadoop, Spark, or Kafka.Hands-on experience with cloud platforms such as AWS, GCP, or Azure.Knowledge of data warehousing solutions and ETL (Extract, Transform, Load) processes.Understanding of data modeling, data governance, and data security best practices.Ability to work in a collaborative, fast-paced environment with cross-functional teams.Excellent problem-solving skills and the ability to troubleshoot complex technical issues.A degree in Computer Science, Engineering, or a related field is preferred.Desirable Skills:Experience with containerization tools like Docker or Kubernetes.Familiarity with machine learning frameworks and how to integrate them into data workflows.Experience in data visualization tools (e.g., Tableau, Power BI).Knowledge of DevOps practices and CI/CD pipelines.Apply now to join my database!