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2 days ago
We are seeking an experienced Engineering Manager to spearhead a team of talented data engineers in designing and delivering scalable data pipelines and analytics platforms using Big Data platforms, Microsoft Azure, and Databricks.
Key Responsibilities:- Oversee the development and implementation of end-to-end data solutions using Azure Data Services and Databricks.
- Collaborate with cross-functional teams including data science, analytics, product, and business stakeholders to drive 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 and external policies.
- Optimize performance and cost efficiency of data infrastructure in the cloud.
- 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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