
Senior Data Architect
6 days ago
The Senior Big Data Engineer will be responsible for managing large sets of structured, semi-structured, and unstructured data in a modern cloud-based data lakehousing environment.
Key Responsibilities- Analyze large data stores to derive 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 with accuracy and minimal directions while meeting deadlines.
- Bachelor/master's degree in computer science or related field.
- At least 4-6 years of relevant working experience with Cloud Computation.
- Hands-on experience on Azure/AWS.
- Experience working with Apache Spark, Apache Hive, Apache HBase.
- Hands-on experience on SQL, Scala, Node.js, JS, Java.
- Hands-on experience with Python, Pandas, NumPy, TensorFlow.
- Experience with ETL.
- Implementing Lambda Architecture with stream processing and batch processing.
- Implement security standards and practices in the Architecture of Cloud Solution.
- Training/Certification on Data Lake HDFS.
- Training/Certification on Azure Data Lake Gen 2.
- Training/Certification on Data Bricks.
- Experience with Azure Data Explorer and Kusto query language is desirable.
- Experience with Azure Data Factory is also desirable.
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