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data-integration

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<html><body>A Data Engineer is responsible for designing&#44; building&#44; and maintaining systems that collect&#44; store&#44; and process large volumes of data so it can be used for analytics&#44; reporting&#44; and machine learning. They develop and manage data pipelines and architectures that enable organizations to make data-driven decisions. Data Engineers ensure that data is reliable&#44; accessible&#44; and efficiently processed.In this role&#44; you will build and maintain ETL and ELT pipelines&#44; automate data ingestion from multiple sources such as APIs&#44; databases&#44; and files&#44; and design data warehouses and data lakes using systems like Amazon Redshift&#44; Google BigQuery&#44; or Snowflake. You will optimize SQL queries and manage both relational and NoSQL databases&#44; ensuring high performance and reliability. You will also process and transform large datasets using frameworks like Apache Spark and Hadoop&#44; maintain data accuracy and consistency&#44; and monitor pipelines to quickly resolve any issues. Collaboration with data scientists&#44; analysts&#44; and software engineers is an important part of the role&#44; as is supporting business intelligence tools and dashboards.The role requires strong programming skills in Python&#44; Java&#44; or Scala&#44; advanced SQL knowledge&#44; and experience with ETL tools such as Apache Airflow or dbt. Familiarity with cloud platforms like AWS&#44; GCP&#44; or Azure&#44; data warehousing concepts&#44; distributed systems&#44; and streaming tools such as Apache Kafka is essential. Nice-to-have skills include a basic understanding of machine learning&#44; experience with data visualization tools such as Tableau or Power BI&#44; and familiarity with DevOps practices including CI/CD&#44; Docker&#44; and Kubernetes.Candidates should have a bachelor’s degree in Computer Science&#44; IT&#44; or a related field&#44; along with one to five or more years of relevant experience. Strong problem-solving abilities&#44; attention to detail&#44; effective communication&#44; and the ability to work with large and complex datasets are essential for success in this role.</body></html>

Data Engineer

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