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Big Data Solutions Architect
24 hours ago
As a senior big data engineer, you will be responsible for implementing data-related implementation tasks that include provisioning of data storage services, ingesting, streaming and batch data, transforming data, implementing security requirements, implementing data retention policies, identifying performance bottlenecks, and accessing external data.
You will develop and implement data lake solutions for company-wide applications and manage large sets of structured, semi-structured, and unstructured data in a modern cloud-based environment.
- Responsibilities:
- Performing analysis of large data stores and deriving insights using big data querying
- Design and develop code, scripts, and data pipelines that leverage structured, semi-structured, and unstructured data
- Manage data ingestion pipelines and stream processing
- Perform computations using Azure functions
- Responsible for the documentation, design, and development of Hadoop applications
- Perform day-to-day tasks accurately with minimal directions while meeting deadlines
- Bachelor/master's degree in computer science
- At least 4-6 years of relevant working experience with cloud computation
- Hands-on experience with Azure/AWS
- Experience working with Apache Spark, Apache Hive, Apache HBase
- Hands-on experience with:
- Azure/AWS architectures
- SQL, Scala, Node.js, JS, Java
- Python with Pandas, NumPy, TensorFlow
- ETL
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