Cloudera Data Engineer
Posted 2 days ago by 1762333347
Negotiable
Outside
Remote
USA
Summary: The Cloudera Data Engineer role involves supporting the migration of a Medicaid Data Warehouse Implementation within an AWS environment. The engineer will ensure a seamless transition of a Cloudera/Hive/Scala-based data pipeline, focusing on operational stability and data integrity. Collaboration with the project team on AWS infrastructure is essential for successful migration and ongoing operations. This position requires a strong background in data engineering and Cloudera platform management.
Key Responsibilities:
- Replicate and configure existing Cloudera cluster (HDFS, YARN, Hive, Spark) in the new AWS account.
- Coordinate with project team to ensure proper infrastructure provisioning (EC2, security groups, IAM roles, and networking).
- Reconfigure cluster connectivity and job dependencies for the new environment.
- Migrate and validate metadata stores (Hive Metastore, job configs, dependencies).
- Validate job execution and data outputs for parity with existing environment.
- Deploy, test, and operate existing Hive, Spark (Scala) jobs post-migration.
- Maintain job schedules, dependencies, and runtime configurations.
- Monitor job performance, identify bottlenecks, and apply tuning or code-level optimizations.
- Troubleshoot failures and implement automated recovery or alerting where applicable.
- Monitor Cloudera Manager dashboards, cluster health, and resource utilization.
- Manage user roles and access within Cloudera environment.
- Implement periodic data cleanup, archiving, and housekeeping processes.
- Document configurations, migration steps, and operational runbooks.
Key Skills:
- Bachelor's degree in computer science, Information Systems, or a related field.
- 7+ years of experience in data engineering or big data development.
- 4+ years experience with Cloudera platform (HDFS, YARN, Hive, Spark, Oozie).
- Experience deploying and operating Cloudera workloads on AWS (EC2, S3, IAM, CloudWatch).
- Strong proficiency in Scala, Java and HiveQL; Python or Bash scripting experience preferred.
- Strong proficiency in Apache Spark & Scala programming for data processing and transformation.
- Hands-on experience with Cloudera distribution of Hadoop.
- Hands-on experience implementing business-rules processing using Drools.
- Able to work with infrastructure, DevOps, and data governance teams in a multi-disciplinary environment.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Detailed Description From Employer:
.*************** DIRECT CLIENT REQUIREMENT ****************
Description :
We are seeking a Cloudera Data Engineer to support the migration of a Medicaid Data Warehouse Implementation in AWS environment. The resource will support the migration and continued operations of an existing Cloudera/Hive/Scala-based data pipeline environment from one AWS account to another.
This position is responsible for ensuring a seamless transition, validating data integrity and job performance, and maintaining reliable daily operations post-migration.
The role will work closely with the existing project team for the underlying AWS infrastructure (VPC, IAM, S3, EC2, networking). The resource will focus on Cloudera cluster migration, data pipeline reconfiguration, and operational stability.
Key Responsibilities
Replicate and configure existing Cloudera cluster (HDFS, YARN, Hive, Spark) in the new AWS account.
Coordinate with project team to ensure proper infrastructure provisioning (EC2, security groups, IAM roles, and networking).
Reconfigure cluster connectivity and job dependencies for the new environment.
Migrate and validate metadata stores (Hive Metastore, job configs, dependencies).
Validate job execution and data outputs for parity with existing environment.
Deploy, test, and operate existing Hive, Spark (Scala) jobs post-migration.
Maintain job schedules, dependencies, and runtime configurations.
Monitor job performance, identify bottlenecks, and apply tuning or code-level optimizations.
Troubleshoot failures and implement automated recovery or alerting where applicable.
Monitor Cloudera Manager dashboards, cluster health, and resource utilization.
Manage user roles and access within Cloudera environment.
Implement periodic data cleanup, archiving, and housekeeping processes.
Document configurations, migration steps, and operational runbooks.
Required Skills and Experience:
Bachelor s degree in computer science, Information Systems, or a related field.
7+ years of experience in data engineering or big data development
4+ years experience with Cloudera platform (HDFS, YARN, Hive, Spark, Oozie)
Experience deploying and operating Cloudera workloads on AWS (EC2, S3, IAM, CloudWatch)
Strong proficiency in Scala, Java and HiveQL; Python or Bash scripting experience preferred
Strong proficiency in Apache Spark & Scala programming for data processing and transformation.
Hands on experience with Cloudera distribution of Hadoop.
Hands-on experience implementing business-rules processing using Drools.
Able to work with infrastructure, DevOps, and data governance teams in a multi-disciplinary environment.
Preferred Qualifications:
Candidates with Cloudera certification (e.g., CDP Data Engineer or Cloudera Administrator)
Experience with Cloudera version upgrades or AWS-to-AWS environment migrations.
Experience in public-sector or large enterprise data environments.