Data Engineer

Must Needed Skills: Apache Airflow, Python, PySpark ,Hive(Trino), SQL and Snowflake

• Develop and maintain data pipelines, ELT processes, and workflow orchestration using Apache Airflow, Python, PySpark ,Hive(Trino) and Snowflake to ensure the efficient and reliable delivery of data.
• Design and implement custom connectors to facilitate the ingestion of diverse data sources into our platform, including structured and unstructured data from various document formats .
• Collaborate closely with cross-functional teams to gather requirements, understand data needs, and translate them into technical solutions.
• Design and implement data CI/CD pipelines to enable automated and efficient data integration, transformation, and deployment processes.
• Monitor and troubleshoot data pipelines, proactively identifying and resolving issues related to data ingestion, transformation, and loading.
• Conduct data validation and testing to ensure the accuracy, consistency, and compliance of data.
• Stay up-to-date with emerging technologies and best practices in data engineering.
• Document data workflows, processes, and technical specifications to facilitate knowledge sharing and ensure data governance.