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Cloud-Native Data Engineering Leader
2 weeks ago
Job Overview
We are seeking a Senior Data Engineer to spearhead our cloud-native data engineering efforts. The ideal candidate will have in-depth expertise in designing, developing, and optimizing scalable data pipelines, implementing enterprise-grade data governance, security, and AI-powered engineering automation.
This role will play a pivotal part in shaping our data platform's architecture, enabling real-time and batch data analytics across the organization.
- We're looking for someone with hands-on experience in Azure Data Factory, Azure Data Lake Gen2, Databricks, Synapse, and Purview.
- Proficiency in SQL, PySpark, Python, and data orchestration tools is essential.
- Strong understanding of data architecture patterns – Lakehouse, medallion, delta architecture – and familiarity with Snowflake, BigQuery, Redshift, or AWS Glue.
The successful candidate will be responsible for:
- Developing and maintaining ETL/ELT processes for structured and unstructured data.
- Implementing Change Data Capture (CDC), streaming pipelines, and batch ingestion.
- Optimizing performance and cost across data workloads and cloud environments.
- Establishing and maintaining data quality frameworks, observability tools, and monitoring dashboards.
Key qualifications include:
- Bachelor's degree in Computer Science or related field.
- Minimum 4 years of experience in data engineering.
- Strong problem-solving, communication, and stakeholder collaboration skills.
- Ability to lead data initiatives and mentor team members.