Software Engineer 3

Summary: We are looking for a highly motivated and experienced Data Engineer to join our data engineering team. The ideal candidate will have a strong background in building scalable data pipelines using the AWS cloud stack and extensive hands-on experience with Snowflake. Proficiency in Python and SQL, along with graph and vector database technologies, is essential. This role requires strong problem-solving abilities and a proactive mindset to deliver efficient, scalable, and reliable data solutions. Responsibilities: - Design, develop, and maintain scalable data pipelines on AWS using services such as S3, Glue, Lambda, Redshift, and EMR. - Build and optimize data warehousing solutions using Snowflake, including performance tuning and data modeling. - Write efficient and reusable code in Python and SQL for data transformation and processing. - Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements. - Integrate vector databases with LLM-based applications and AI workflows. - Monitor, troubleshoot, and improve pipeline performance and reliability. - Ensure data quality, integrity, and security across all stages of the pipeline. - Participate in code reviews, architecture discussions, and continuous improvement initiatives. Requirements: - 5-8 years of experience in data engineering or related roles. - Bachelor&rsquos or Master&rsquos degree in Computer Science, Engineering, or a related field. Required Skills: - Strong hands-on experience with AWS cloud services, including data and AI workloads. - Deep understanding of Snowflake architecture, performance tuning, and best practices. - Advanced proficiency in Python and SQL for data pipelines, transformations, and services. - Hands-on experience with graph databases (e.g., Neo4j, Neptune) and vector databases (e.g., Milvus, Client OpenSearch). - Experience with version control systems (e.g., Git) and Git workflows. - Experience working with Azure DevOps (AzDO) boards for backlog management in Agile environments. - Excellent analytical and problem-solving skills. - Strong communication and collaboration abilities. Preferred Skills: - Knowledge of the NVIDIA ecosystem and its applications in data and AI. - Exposure to RAPIDS libraries (cuDF, cuML, cuGraph) or CUDA-based tooling for GPU-accelerated data processing, enabling faster transformation and optimization during large-scale ingestion workflows. - Experience with orchestration tools such as AWS Step Functions. - Familiarity with data governance and compliance practices. - Exposure to real-time data processing frameworks (e.g., Kafka, Spark Streaming). #AditiConsulting # 26-04642 Skills: snowflake , Git, Sql, graph databases , Azure Devops, Python Experience: 5.00-8.00 Years