Data Engineer

Job Description We are seeking a skilled Data Engineer to design, develop, and maintain scalable data pipelines and data platforms that support analytics, reporting, and business intelligence initiatives. The ideal candidate will have experience working with large datasets, cloud technologies, ETL/ELT processes, and modern data architectures to ensure reliable and efficient data delivery across the organization. Key Responsibilities Data Pipeline Development Design, build, and maintain scalable ETL/ELT pipelines. Develop and optimize data ingestion processes from various structured and unstructured data sources. Ensure data accuracy, integrity, and availability across data platforms. Implement data transformation and cleansing processes. Required QualificationsEducation Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. Experience 3+ years of experience in Data Engineering or related roles. Experience building and supporting enterprise data solutions. Hands-on experience with cloud-based data platforms preferred. Technical Skills Strong SQL development skills. Programming experience in Python, Java, or Scala. Experience with ETL/ELT tools and frameworks. Knowledge of data warehousing concepts and dimensional modeling. Experience with cloud platforms such as Azure, AWS, or GCP. Familiarity with Apache Spark, Databricks, Hadoop, or similar big data technologies. Experience with version control systems such as Git. Qualifications N/A Range Of Year Experience-Min Year 5 Range Of Year Experience-Max Year 7