
High-Performance Data Engineering Specialist
3 days ago
We are seeking a highly skilled Senior Data Engineer to lead the design, development, and maintenance of high-performance data pipelines.
This individual will collaborate with cross-functional teams to develop and implement data models, ETL processes, and data warehousing solutions that support our consulting and analytics services.
The ideal candidate will have experience working with cloud platforms (AWS, Azure, Google Cloud) and big data tools (Hadoop, Spark, Kafka).
Key Responsibilities:
- Design and build scalable data pipelines to meet business requirements
- Maintain and improve existing data pipelines to ensure optimal performance
- Collaborate with teams to develop and implement data models and ETL processes
- Develop and maintain optimal Data Lake setup
- Assemble large and complex data sets to meet business needs
Required Skills and Qualifications:
- Bachelor's degree in Computer Science or related field
- 5+ years of experience in data analytics/data engineering
- Experience with data analytics services like EMR, Glue, Athena, Kinesis, MSK, Elasticsearch, Quicksight, and Redshift
- Strong understanding of big data tools: Hadoop, Spark, Kafka, Hive, relational SQL, and NoSQL databases
- Excellent project management and organizational skills
Benefits:
The successful candidate will have opportunities for growth and professional development in a dynamic environment.
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