Data Engineer | Cloud & Data Pipelines | Contract

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Описание

Job Responsibilities Design, build and maintain production-grade ETL/ELT data pipelines. Integrate data from databases, APIs, enterprise applications, files, SaaS platforms and streaming sources. Develop batch, incremental, CDC, streaming and event-driven data pipelines. Transform and structure raw data into reliable and trusted datasets. Design and maintain data models, data stores, data lakes and analytical datasets. Implement data validation, reconciliation and data-quality controls. Monitor data pipeline performance, freshness, reliability and processing latency. Build reusable datasets and data products for reporting, dashboards and analytics. Support data and analytics use cases, including machine-learning initiatives where required. Work with application, platform and infrastructure teams to establish reliable data integrations. Apply security, governance, access control and data-retention requirements. Support production incidents, troubleshooting and continuous improvement. Job Requirement 3–5 years of experience in Data Engineering, Cloud Data Engineering, Analytics Engineering, Software Engineering or related fields. At least 2 years of hands-on experience building and operating production data pipelines. Strong experience with Python and SQL. Experience with ETL/ELT, data transformation and data modelling. Experience with AWS and/or Azure data capabilities. Experience integrating data from APIs, databases, enterprise systems or streaming sources. Knowledge of batc

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