Data Engineer

Who We Are Looking ForDesign, build, and maintain scalable data pipelines to support business analytics and data science activities.Utilize proper judgment in identifying data-related issues and escalate to specialized teams when necessary.Work with cross-functional stakeholders to gather requirements and translate business needs into technical data solutions.Manage data ingestion from multiple sources including APIs, databases, and cloud platforms.Ensure data integrity, quality, and governance while following organizational policies and compliance standards.Perform data modeling, ETL/ELT pipeline development, and data warehouse optimization.Monitor and troubleshoot performance issues with data systems and implement necessary improvements.Support storage and processing of large-scale datasets using cloud services and distributed systems.Maintain documentation for data workflows and provide guidance to data consumers across the organization.Stay updated with emerging data engineering technologies and contribute to continuous improvements.SkillsData EngineeringETL/ELT DevelopmentSQL & NoSQL DatabasesData ModelingPython / ScalaData Pipeline AutomationCloud Data Platforms (AWS / Azure / GCP)Big Data Tools (Spark, Hadoop, Kafka)API IntegrationLinux / Shell ScriptingCI/CD, Git, DockerMonitoring & TroubleshootingSnowflake / Redshift / BigQuery (Preferred).Data Governance & SecurityTop Skills DetailsData pipelines, SQL, Python, ETL, Data warehouse, AWS/Azure/GCP, Spark, Kafka, Database administration, Performance optimization.Additional Skills & QualificationsStrong analytical thinking and problem-solving skills.Willingness to learn new technologies rapidly.Ability to handle multiple tasks in a fast-paced environment.Excellent documentation and collaboration skills.Experience Level: Intermediate Level.