Data Engineer
AI Summary
Data Engineer with 5+ years of experience responsible for monitoring, troubleshooting, and developing data pipelines using SQL, SSIS, Azure Data Factory, Databricks, and Azure Synapse. Accounts for operational tasks and data quality checks in a hybrid environment.
About this role
Data Engineer
Experience: at least 5 years relevant experience
Job Mode: Contract
Work Mode: Hybrid | 3x onsite per week in BGC
Key Responsibilities
Daily Operations & Support
- Perform monitoring, troubleshooting, and resolution of data pipeline issues across SQL, SSIS, Azure Data Factory, Databricks, and Azure Synapse.
- Respond to market-raised support tickets and operational requests in a timely manner.
- Execute routine data checks, validation tasks, and scheduled operational activities.
Development & Maintenance
- Work on SQL queries for data extraction, validation, and minor optimization tasks.
- Assist in SSIS package maintenance, debugging, and enhancements.
- Participate in development tasks related to Azure Data Factory pipelines and mappings.
- Support updates to Azure Storage structures, file validations, and data housekeeping tasks.
- Python coding
Cloud Platform Operations
- Perform basic administrative tasks in Azure Synapse workspace (monitoring, pipeline checks, SQL pool usage).
- Monitor and troubleshoot Azure Data Factory pipeline executions and triggers.
- Provide support in storage operations such as file movements, folder setup, and access checks.
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About Encora
Encora is the preferred digital engineering and modernization partner of some of the world’s leading enterprises and digital native companies. With over 9,000 experts in 47+ offices and innovation labs worldwide, Encora’s technology practices include Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.
At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Skills
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