Senior Software Engineer- Data Engineering

we are seeking a Senior Software Engineer (Data Engineering). You will be responsible for designing and building all data, ML pipelines, data tools, and cloud infrastructure required to transform massive, fragmented data into a format that supports processes and standards. Your work directly empowers business stakeholders to gain comprehensive visibility, automate key processes, and drive strategic impact across the company.ResponsibilitiesDesign and Build Data Infrastructure: Design, plan, and build all aspects of the platform's data, ML pipelines, and supporting infrastructure.Optimize Cloud Data Lake: Build and optimize an AWS-based Data Lake using cloud architecture best practices for partitioning, metadata management, and security to support enterprise-scale operations.Lead Project Delivery: Lead end-to-end data projects from initial infrastructure design through to production monitoring and optimization.Solve Integration Challenges: Implement optimal ETL/ELT patterns and query techniques to solve challenging data integration problems sourced from structured and unstructured data.Requirements: Experience: 5 years of hands-on experience designing and maintaining big data pipelines in on-premises or hybrid cloud SaaS environments.Programming & Databases: Proficiency in one or more programming languages (Python, Scala, Java, or Go) and expertise in both SQL and NoSQL databases.Engineering Practice: Proven experience with software engineering best practices, including testing, code reviews, design documentation, and CI/CD.AWS Experience: Experience developing data pipelines and maintaining data lakes, specifically on AWS.Streaming & Orchestration: Familiarity with Kafka and workflow orchestration tools like Airflow.This position is open to all candidates.