
High-Performance Data Engineer
6 days ago
About the Position:
We are seeking a seasoned data engineering expert to lead our team of talented professionals in designing and delivering high-performance, scalable data pipelines and analytics platforms on Microsoft Azure.
Key Responsibilities:
- Mentor and grow a team of data engineers working on large-scale distributed data systems.
- Architect and oversee the development of end-to-end 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.
- Ensure high data quality, governance, and compliance with internal policies.
- Optimize performance and cost efficiency of data infrastructure in the cloud.
Required Skills & Qualifications:
- 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, and strong programming skills in Python, Scala, or Java.
- Deep understanding of data modeling, ETL/ELT processes, and performance tuning.
- Experience managing Agile teams and delivering complex projects on time.
- Excellent problem-solving, leadership, and communication skills.
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