Senior Data Engineer

Аналитика рынка

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Описание

Overview Sr Data Engineer Position Summary We are looking for a self-sufficient BI Analyst / Data Engineer to join a small, high-impact analytics team. In this role you will own the full lifecycle of business intelligence delivery—from building and maintaining ETL pipelines in AWS to designing interactive dashboards in Amazon QuickSight. You will work closely with onshore stakeholders to translate business requirements into reliable, well-documented data products that drive operational and strategic decision-making. The ideal candidate is comfortable operating independently across the data stack, takes ownership of their work, and communicates proactively with team members across time zones. Core Responsibilities ETL / Data Pipeline Development Design, build, and maintain AWS Glue (PySpark) ETL jobs that ingest data from multiple source systems such as Salesforce, JIRA, Azure DevOps, and Zendesk into a layered data lake architecture (raw → core → presentation). Develop and optimize AWS Step Functions workflows for pipeline orchestration, including parallel execution, error handling, retry logic, and concurrency management. Implement incremental loading strategies, schema evolution handling, and data quality checks within Glue scripts. Work with Apache Iceberg table format on S3 for ACID-compliant analytics tables, including MERGE operations, compaction, snapshot expiration, and orphan file cleanup. Integrate supporting AWS services such as EventBridge, SQS, SNS, Athena, and C

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