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Senior Data Engineer

Sysqube — Nepal · Posted ~4 hours ago

Senior Full-time

Skills

Databricks Apache Spark Apache Kafka AWS SQL Python ETL/ELT

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Summary ✨ AI‑Generated

An organization is seeking an experienced data engineer to build reliable data pipelines, manage cloud-based platforms, and deliver analytics solutions.

Highlights

Work on scalable data platforms, modern pipelines, and analytics solutions while collaborating with technical teams.

Description

Experience: 5+ Years Employment Type: Full-Time We are looking for an experienced Senior Data Engineer with strong hands-on experience in building and managing scalable data pipelines and data platforms. Key Skills: DatabricksApache SparkApache KafkaAWS & AWS QuickSightSQL & PythonETL/ELT pipelinesData Warehousing / Data LakesResponsibilities: Design and maintain scalable data pipelines and ETL/ELT workflows.Work with Databricks, Spark, Kafka, and AWS data services.Develop data processing and transformation solutions.Build dashboards and reporting solutions using AWS QuickSight.Ensure data quality, performance, and reliability.Collaborate with data analysts, developers, and other stakeholders.Requirements: 5+ years of professional Data Engineering experience.Strong practical experience with the technologies listed above.Good understanding of data architecture, pipelines, and cloud-based data platforms.Strong problem-solving and communication skills.