
Senior Big Data Architect
19 hours ago
The role of the data engineer involves working with large datasets and designing efficient systems to store, process, and retrieve data.
- About the Role: As a data engineer, you will be responsible for architecting, building, testing, and deploying large-scale data processing systems. You will work closely with cross-functional teams, including software development engineers, data scientists, and product managers to design, build, and deploy scalable and reliable data pipelines.
This is an exciting opportunity to join our team as a data engineer and contribute to the growth and success of our organization.
Required Skills and Qualifications:
- Data Engineering Experience: 5-12 years of experience in designing, building, and deploying large-scale data processing systems.
- Programming Languages: Proficiency in Python and/or Scala programming languages.
- Data Storage and Management: Experience with distributed file systems such as HDFS, object stores like S3, or NoSQL databases like Cassandra.
- Big Data Processing: Hands-on experience with big data processing technologies like Apache Spark, Flink, or Tez.
- Cloud Platforms: Experience with cloud platforms like AWS, Azure, or GCP.
Benefits:
We offer a comprehensive benefits package, including health insurance, retirement plan, paid time off, and professional development opportunities.
What We Look For:
We are looking for highly motivated and talented data engineers who can design, build, and deploy large-scale data processing systems. If you have a strong background in data engineering, experience with big data processing technologies, and a passion for learning new technologies, we would love to hear from you.
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