
Senior Data Engineer
1 day ago
This is a senior-level data engineering management position that requires extensive experience in Big Data platforms, cloud architecture, and team leadership.
The ideal candidate will oversee the development of end-to-end data solutions using Azure Data Services and Databricks, collaborate with cross-functional teams to understand requirements, and drive best practices in data engineering.
Key Responsibilities:
- Lead and mentor a team of data engineers working on large-scale distributed data systems.
- Architect and develop scalable data pipelines and analytics platforms ensuring high performance, reliability, and security.
- Collaborate with data science, analytics, product, and business stakeholders to deliver impactful data products.
- Drive coding standards, version control, CI/CD, and monitoring.
- Ensure data quality, governance, and compliance with internal and external policies.
- Optimize performance and cost efficiency of data infrastructure in the cloud.
- Stay current with industry trends and apply them to improve system architecture and team capabilities.
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 (including Delta Lake, MLFlow, Unity Catalog)
- Strong programming experience 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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