
Chief Data Architect
24 hours ago
We are seeking an experienced Senior Data Engineer to join our team.
The ideal candidate will have a strong background in data engineering, with expertise in designing, building, and maintaining high-performance, scalable data pipelines. They will work closely with cross-functional teams to develop and implement data models, ETL processes, and data warehousing solutions.
The Senior Data Engineer will be responsible for:
- Designing and implementing data pipelines to support our consulting and analytics solutions
- Working with cross-functional teams to develop and implement data models, ETL processes, and data warehousing solutions
- Ensuring the scalability and performance of our data infrastructure
- Collaborating with stakeholders to identify and prioritize business requirements
To be successful as a Senior Data Engineer, you will need:
- 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.
- Experience with stream-processing systems: Storm, Spark-Streaming, and good in object-oriented/object function scripting languages: Python, Scala, etc
As a Senior Data Engineer, you will enjoy:
- A competitive salary and benefits package
- The opportunity to work with a talented team of professionals
- Professional development and growth opportunities
If you are a motivated and experienced Senior Data Engineer looking for a new challenge, please submit your resume and cover letter for consideration.
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