NEC Software Solutions (NECSWS) is hiring a Data Engineer- AWS

Role Overview We are seeking an AWS Data Engineer with 4–7 years of experience to design and build cloud-native data pipelines, contribute to innovation in data engineering practices, and collaborate across teams to deliver secure, scalable, and high-quality data solutions. This role is critical to enabling real-time insights and supporting our mission to streamline enterprise operations. Key Responsibilities Develop, test, deploy, orchestrate, monitor, and troubleshoot cloud-based data pipelines and automation workflows in alignment with best practices and security standards. Collaborate with data scientists, architects, ETL developers, and business stakeholders to capture, format, and integrate data from internal systems, external sources, and data warehouses. Research and experiment with batch and streaming data technologies to evaluate their business impact and suitability for current use cases. Contribute to the definition and continuous improvement of data engineering processes and procedures. Ensure data integrity, accuracy, and security across corporate data assets. Maintain high data quality standards for Data Services, Analytics, and Master Data Management. Build automated, scalable, and test-driven data pipelines. Apply software development practices including Git-based version control, CI/CD, and release management to enhance AWS CI/CD pipelines. Partner with DevOps engineers and architects to improve DataOps tools and frameworks. Basic Qualifications Bachelor’s Degree in Computer Science, Engineering, or related field. 4–7 years of experience in application development and data engineering. 3+ years of experience with big data technologies. 3+ years of experience with cloud platforms (AWS preferred; Azure or GCP also acceptable). Proficiency in Python, SQL, Scala, or Java (3+ years). Experience with distributed computing tools such as Hadoop, Hive, EMR, Kafka, or Spark (3+ years). Hands-on experience with real-time data and streaming applications (3+ years). NoSQL database experience (MongoDB, Cassandra) – 3+ years. Data warehousing expertise (Redshift or equivalent) – 3+ years. UNIX/Linux proficiency including shell scripting – 3+ years. Familiarity with Agile engineering practices. SQL performance tuning and optimization – 3+ years. PySpark experience – 2+ years. Exposure to process orchestration tools (Airflow, AWS Step Functions, Luigi, or KubeFlow). Preferred Qualifications Experience with Machine Learning workflows. Exposure to Data-as-a-Service platforms. Experience designing and deploying APIs.