
Senior Data Analyst/Engineer
6 days ago
This critical position requires an individual to design, develop, and implement data solutions that cater to the organization's needs. Key responsibilities include analyzing large data sets, developing code and scripts, managing data ingestion pipelines, and performing computations using Azure functions. The ideal candidate should possess strong skills in cloud computation, data engineering, and programming languages such as Java, Python, and Scala.
Main Objectives
- Analyze and process large data sets using Big Data querying techniques.
- Develop and implement data pipelines that leverage structured, semi-structured, and unstructured data.
- Manage data ingestion pipelines and stream processing tasks.
- Document and develop Hadoop applications.
- Meet project deadlines while working independently.
Key Qualifications
- Bachelor's or master's degree in computer science or related field.
- 2-5 years of experience in cloud computing and data engineering.
- Familiarity with Apache Spark, Apache Hive, and Apache HBase.
- Proficiency in Azure/AWS Architectures, SQL, Node.js, Java, Python, Pandas, NumPy, and ETL.
Desirable Skills
- Experience with Lambda Architecture and stream processing.
- Knowledge of security standards and practices in Cloud Solution Architecture.
- Training/Certification in Data Lake HDFS, Azure Data Lake Gen 2, and Data Bricks.
- Experience with Azure Data Explorer, Kusto query language, and Azure Data Factory.
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