Data Engineer

We are seeking a skilled and motivated Data Engineer to design and maintain scalable data solutions that enable data-driven decision-making across the organization. This role involves building secure data pipelines, optimizing workflows, and collaborating with cross-functional teams to deliver impactful analytics. Key Responsibilities Design, build, and maintain secure, scalable data pipelines and engineering solutions. Develop and support cloud and on-premise data infrastructure, including data warehouses and APIs. Collaborate with business stakeholders to translate requirements into technical specifications. Optimize data workflows and automate repetitive tasks. Perform root cause analysis and identify opportunities for process improvements. Support analytics initiatives by integrating new data sources and maintaining data quality. Required Qualifications Bachelor’s degree in Computer & Information Science (Master’s preferred). 3+ years of experience in data engineering or IT. Strong SQL skills and experience with relational databases. Proficiency in Python, Java/Scala, and cloud platforms (AWS preferred). Experience with Apache Spark, Hadoop, Snowflake, and ETL tools (e.g., Informatica, Airflow, Kafka). Familiarity with .NET technologies (C#, VB.Net) and web application development. Strong analytical, problem-solving, and communication skills. Ability to work independently and collaboratively in a fast-paced environment. #J-18808-Ljbffr Compunnel