
Data Engineering Leader
1 day ago
We are seeking a seasoned Data Engineering Leader to spearhead the design and implementation of scalable data pipelines and analytics platforms.
This role requires expertise in Big Data ecosystems, Azure Cloud Services, and Databricks. The ideal candidate will lead a team of talented data engineers to develop end-to-end data solutions.
Key Responsibilities- Lead, mentor, and grow a team of data engineers working on large-scale distributed data systems.
- Architect and oversee the development of data solutions using Azure Data Services and Databricks.
- Collaborate with cross-functional teams to understand requirements and deliver impactful data products.
- Drive best practices in data engineering, coding standards, version control, CI/CD, and monitoring.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 8+ years of experience in software/data engineering with at least 3 years in a leadership or managerial role.
- Proven hands-on experience with:
- Big Data ecosystems (Spark, Hive, Hadoop)
- Azure Cloud Services (Data Lake, Data Factory, Synapse Analytics, Blob Storage)
- Databricks (including Delta Lake, MLFlow, Unity Catalog)
- Strong programming experience in Python, Scala, or Java.
- Experience managing Agile teams and delivering complex projects on time.
- Excellent problem-solving, leadership, and communication skills.
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