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1 day ago
This leadership position requires a seasoned professional to lead a team of data engineers and analysts in designing, developing, and implementing data solutions. Key responsibilities include overseeing data ingestion pipelines, managing stream processing tasks, and documenting Hadoop applications. The ideal candidate should possess strong leadership skills, expertise in cloud computing and data engineering, and experience working with big data technologies like Apache Spark, Apache Hive, and Apache HBase.
Main Responsibilities
- Lead a team of data engineers and analysts in designing and developing data solutions.
- Oversight of data ingestion pipelines and stream processing tasks.
- Documentation of Hadoop applications.
- Ensuring timely completion of projects and meeting deadlines.
Key Qualifications
- Bachelor's or master's degree in computer science or related field.
- Minimum 7 years of experience in cloud computing and data engineering.
- Familiarity with big data technologies like Apache Spark, Apache Hive, and Apache HBase.
- Strong leadership and communication skills.
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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