Cloudera / Data Engineer
Cloudera / Data Engineer
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Job Description
Cloudera / Data Engineer
As a Cloudera / Data Engineer you will be responsible for designing building and maintaining scalable data pipelines and platforms with a strong focus on the Cloudera Hadoop ecosystem. You will work closely with data analysts scientists and business stakeholders to ensure data accessibility quality and security.
What will you do
- Design build and manage the Cloudera Hadoop Distribution (CDH/CDP).
- Develop and maintain ETL pipelines using tools such as Apache NiFi Hive Spark and Impala.
- Manage and optimize HDFS YARN Kafka HBase and Oozie workflows.
- Monitor and troubleshoot cluster performance and jobs with strong problem-solving and debugging skills.
- Collaborate with DevOps and Data Science teams to integrate data platforms into applications and analytics workflows.
- Ensure data governance security and compliance using tools like Apache Ranger Atlas and Kerberos.
- Mentor and guide a team of data engineers to deliver robust data solutions.
Qualifications :
The ideal candidate should possess:
- 10 years of experience in big data engineering preferably with Cloudera.
- Strong programming skills in Python Java and Spark.
- Experience with Apache Spark Hive Impala and Kafka.
- Familiarity with Linux/Unix and shell scripting.
- Degree in Computer Science Information Technology or a related field.
Preferred Skills:
- Cloudera Certified Professional (CCP) or Cloudera Data Platform certification.
- Experience/Knowledge on cloud platforms (AWS Azure or GCP) and hybrid deployments.
- Familiarity with CI/CD pipelines Docker or Kubernetes in a data context.
Additional Information :
We are driven by our AEIOU beliefs - Adventure Excellence Integrity Ownership and Unity - and we seek individuals who embody these values in both their professional and personal lives. We are committed to our Impact: Valuing our clients Growing our people and Creating our future.
Together we make the extraordinary happen.
Learn more about us at and visit our LinkedIn career site.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
