
Senior Cloud Data Engineering Professional
4 days ago
We are seeking a highly skilled professional to fill the position of Senior Data Engineer.
- About the Job
- This role will play a pivotal part in designing, developing, and optimizing data ingestion, transformation, and governance frameworks, enabling real-time and batch data analytics across our data platform.
The Ideal Candidate
- Will have deep expertise in building scalable data pipelines, implementing enterprise-grade data governance, security, and AI-powered engineering automation.
- Design and implement scalable, robust, and secure data pipelines using Azure Data Factory, Databricks, Synapse Analytics, Azure Data Lake Gen2, Event Hub, Azure Functions, AWS Glue, S3, Redshift or GCP BigQuery, Dataflow.
- Develop and maintain ETL/ELT processes for structured and unstructured data.
- Implement Change Data Capture (CDC), streaming pipelines, and batch ingestion.
- Optimize performance and cost across data workloads and cloud environments.
- Establish and maintain data quality frameworks, observability tools, and monitoring dashboards.
- Define and enforce data rules, validations, anomaly detection and reconciliation.
- Implement data lineage and metadata tracking using Azure Purview.
- Drive adoption of data cataloguing, profiling, and classification tools.
- Collaborate with data stewards and compliance teams to ensure governance alignment.
- Implement role-based access control (RBAC), data masking, encryption, and tokenization.
Responsibilities
- Design technical architecture for assigned projects.
- Coding, unit testing, test case documentation, and walkthroughs for all assigned Azure related projects.
- Support company business and operational needs.
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