Data Engineer

Description: A Data Engineer designs, implements, and maintains data pipelines, warehouses, and infrastructure to support the collection, storage, and analysis of large volumes of structured and unstructured data.

Responsibilities

• Building and optimizing data pipelines for extracting, transforming, and loading (ETL) data from various sources into storage systems.
• Designing and managing data warehouses, databases, and storage solutions to support analytics, reporting, and machine learning applications.
• Developing and maintaining data integration and processing frameworks to ensure scalability, reliability, and performance.
• Collaborating with data scientists, analysts, and software engineers to support data-driven decision-making and product development initiatives.
• Implementing data governance policies and security measures to protect sensitive information and ensure compliance with regulations.
  
  

Qualifications

• Proficiency in programming languages such as Python, SQL, or Scala.
• Strong understanding of database systems, data modeling, and query optimization techniques.
• Experience with big data technologies and platforms such as Hadoop, Spark, Kafka, or Apache Airflow.
• Knowledge of cloud computing services and infrastructure for data storage and processing (e.g., AWS, Google Cloud, Azure).
• Previous experience in data engineering roles or related fields.
  
  

Benefits

• Competitive salary and opportunities for career advancement in the field of data engineering.
• Exposure to diverse data sources, technologies, and projects across various industries.
• Collaboration with multidisciplinary teams to design and implement scalable data solutions.
• Access to training and professional development resources to enhance data engineering skills and expertise.
• Contribution to the development of data-driven applications and insights that drive business growth and innovation.