Data Platform Engineer (CAT 1)

Job Description: The Data Engineer is responsible for designing, building, and maintaining scalable data infrastructure and pipelines that support analytics, reporting, and machine learning initiatives. This role requires strong technical expertise, problem-solving skills, and cross-functional collaboration to ensure data is accessible, reliable, and actionable. Data Pipeline Development: Build robust ETL/ELT pipelines to ingest, transform, and load data from diverse sources (e.g., databases, APIs, files) Architecture & Integration: Design scalable data architectures and integrate systems using tools like Spark, Kafka, Talend, Informatica, or Denodo. Data Quality & Governance: Implement data cleansing, profiling, classification, and governance policies to ensure accuracy, security, and compliance. Collaboration: Work closely with data scientists, analysts, and business stakeholders to understand data needs and deliver tailored solutions. Monitoring & Troubleshooting: Monitor data workflows, troubleshoot issues, and optimize performance across systems. Documentation: Maintain comprehensive documentation for data processes, workflows, and system configurations. Requirements: Minimum 1 year in SQL, python or java

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