Senior Data engineer

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Description

This role will be responsible for driving data platform architecture, data engineering, infrastructure, and open-source technology implementation while working closely with Business Users, Management, Architects, Data Scientists, and Engineering teams. Responsibilities Lead the design, implementation, modernization, and operation of enterprise-scale Data Platform and Data Engineering solutions. Design and manage scalable ETL/ELT, data pipelines, data integration, and workflow orchestration using technologies such as Python, SQL, PySpark, and Apache Airflow. Design and implement Data Warehouse, Data Lake, Lakehouse, Data Modeling, Data Governance, and real-time data solutions using technologies such as Kafka and Spark. Lead the deployment and management of data platform infrastructure across on-premise, cloud, or hybrid environments, including Kubernetes, Docker, CI/CD, Terraform/Ansible, HA, and DR. Evaluate and implement Open Source Data Platform technologies and support data environments for AI/ML and Generative AI use cases, including MLOps, LLM, RAG, and Vector Databases. Lead and mentor technical teams while collaborating with Business Users, Management, Architects, Data Scientists, and other stakeholders to deliver secure, scalable, and reliable data solutions. Job Specification Bachelor’s or Master’s Degree in Computer Science, IT, Data Science, Engineering, Mathematics, or related fields. 8+ years of experience in Data Engineering, Data Platform, Big Data, or related

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