Apply for Senior Data Engineer at Fusemachines in Kathmandu, Nepal. Full-time opportunity. Explore requirements and apply online on SpireJob Nepal.
We are looking for a Senior Data Engineer to architect, design, and implement scalable, high-performance data solutions. The ideal candidate will be an expert in at least one major cloud data ecosystem (AWS, Azure, GCP, Snowflake, or Databricks) and possess a deep understanding of the end-to-end data lifecycle, from ingestion to business intelligence. Qualification and Experience: 5+ years of hands-on data engineering experience in a production environment. Strong proficiency in Python, SQL, and PySpark/Apache Spark. Expert knowledge of data modeling (3NF, Star, Snowflake Schema) and Lakehouse/Warehouse architectures. Proven experience building ETL/ELT pipelines using tools like dbt, Airflow, Dagster, or native cloud orchestrators. Experienced in integrating data from diverse sources: APIs, RDBMS/NoSQL databases, flat files, and streaming platforms (Kafka, Kinesis, Pub/Sub). Deep expertise in at least one cloud platform: Snowflake, Databricks, GCP, Azure, or AWS. Proficient in Git workflows, CI/CD pipelines, and IaC (Terraform/CloudFormation). Strong understanding of data governance, quality, lineage, observability, security, and compliance. Active experience in Agile/Scrum environments. Key Responsibilities: Architect, design, and implement scalable, reliable data solutions and pipelines aligned with business analytics needs. Manage and fine-tune cloud resources and workloads for maximum performance, reliability, and cost-efficiency. Lead the development of ETL/ELT processes for both batch and real-time data processing. Partner with Product, Engineering, and Data Science teams to deliver effective, data-driven solutions. Promote and enforce best practices in data governance, security, and data quality frameworks. Provide technical leadership and mentorship to the team. Maintain comprehensive documentation of data architectures, configurations, and workflows.
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