
Senior Data Scientist and Cloud Architect
7 days ago
Job Opening: Senior Data Engineer
We are seeking a highly skilled Senior Data Engineer to join our team. The ideal candidate will have expertise in cloud-native data engineering, primarily on Microsoft Azure.
This role plays 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.
Key Responsibilities:
- Design and implement scalable, robust, and secure data pipelines using Azure Data Factory, Databricks, Synapse Analytics, Azure Data Lake Gen2, Event Hub, and Azure Functions.
- Develop and maintain ETL/ELT processes for structured and unstructured data.
- Implement Change Data Capture (CDC), streaming pipelines, and batch ingestion.
- Work with AWS Glue, S3, Redshift or GCP BigQuery, Dataflow as needed.
- 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.
Required Skills and Qualifications:
- 4+ years in data engineering with at least 2+ years on Azure cloud platform.
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