
Principal Data Architect
3 days ago
We are seeking an experienced and skilled Senior Data Engineer to join our team. In this role, you will be responsible for designing, building, and maintaining high-performance, scalable data pipelines to support our consulting and analytics solutions.
The successful candidate will have a strong background in data engineering, with experience in designing and implementing large-scale data systems. They will also have excellent technical skills, including proficiency in programming languages such as Python and Scala, as well as knowledge of big data tools like Hadoop and Spark.
In addition to their technical skills, the ideal candidate will have strong project management and organizational skills, with the ability to work effectively in a dynamic environment.
Key Responsibilities:
- Design and implement high-performance, scalable data pipelines
- Maintain and optimize existing data systems
- Collaborate with cross-functional teams to develop and implement data models, ETL processes, and data warehousing solutions
- Develop and maintain optimal Data Lake setup
Requirements:
- 5+ years' experience in data analytics/data engineering
- Experience with data analytics services like EMR, Glue, Athena, Kinesis, MSK, Elasticsearch, Quicksight, and Redshift
- Experience with data lake setup and data warehouse on AWS/GCP
- Experience with big data tools: Hadoop, Spark, Kafka, Hive, and relational SQL and NoSQL databases, including Postgres and Cassandra
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
Preferred Qualifications:
- Experience working with cloud platforms (e.g., AWS, Azure, and Google Cloud)
- Knowledge of machine learning concepts and algorithms
Benefits:
- Competitive salary and benefits package
- Opportunities for professional growth and development
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