شرح موقعیت
As a Data Engineer, he /she will play a pivotal role in delivering Data engineering Solutions. With 3+ years of experience in data engineering is a professional responsible for designing, building, and maintaining the infrastructure and systems that enable organizations to collect, store, process, and analyze large volumes of data. They play a crucial role in ensuring that data is available, reliable, and accessible for various data-driven applications and analytics. Key Data Pipeline Development: Data engineers design and construct data pipelines that extract, transform, and load (ETL) data from various sources into data warehouses or data lakes. These pipelines ensure data consistency and quality. Data Integration: They integrate data from diverse sources, such as databases, APIs, streaming platforms, and external data providers, into a unified data ecosystem. Data Modeling: Data engineers design and implement data models that support efficient querying and reporting, as well as analytics and machine learning processes. Data Warehousing: They work with data warehousing technologies like Amazon Redshift, Google BigQuery, or Snowflake to store and manage large datasets. Data Quality Assurance: Ensuring data accuracy and quality is a critical responsibility. Data engineers often implement data validation and cleansing procedures. Performance Tuning: Optimizing data pipelines and databases for performance and scalability is essential to handle growing data volumes. Data Security: Data engineers are responsible for implementing security measures to protect sensitive data and ensure compliance with data privacy regulations. Monitoring and Maintenance: They monitor data pipelines and systems for issues, troubleshoot problems, and perform routine maintenance to ensure data availability. Documentation: Maintaining clear and up-to-date documentation for data pipelines, schemas, and processes is vital for knowledge sharing and compliance. Collaboration: Collaborating with data scientists, analysts, and other stakeholders to understand their data requirements and deliver data solutions that meet their needs. Qualifications & Experience: Bachelor’s or Master’s in a Computers or similar field 3+ years of experience in data engineering, with a strong focus on machine learning and statistical modeling Azure/ AWS Certified (Nice to have) Experience in working with data Science and BI tasks (Nice to have)