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Cloudera Data Engineer
Dubai, United Arab Emirates · Full Time
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- Experience
- Any
- Salary
- —
- Openings
- 1
- Posted
- 4 કલાક પેહલા
- Work mode
- In office
- Education
- Bachelor's degree
- Resume
- Required to apply
Where you'll work
Job description
Job Overview
Maaloomatiia Academy is looking for a skilled Cloudera Data Engineer based in Dubai to design and maintain robust big data pipelines leveraging Cloudera CDP and related Hadoop ecosystem tools. This role requires expertise in optimizing data workflows, ensuring high-performance production support, and collaborating with analytics and engineering teams.
Key Responsibilities
- Construct and uphold big data pipelines utilizing components of Cloudera CDP.
- Develop and enhance ETL/ELT workflows with Spark, Hive, and Hadoop technologies.
- Administer HDFS storage systems to guarantee availability and optimal performance.
- Manage production support tasks including troubleshooting, monitoring, and tuning system performance.
- Collaborate with data science, analysis, and engineering teams to facilitate data-driven projects.
- Implement data governance, security, and compliance standards within big data platforms.
- Diagnose and resolve cluster-related challenges pertaining to resource use, scheduling, and configuration.
- Engage in architectural planning, technical documentation, and solution design discussions.
Required Qualifications and Skills
- Extensive hands-on experience with Cloudera CDP technology.
- Deep knowledge of Hadoop ecosystem components such as HDFS, YARN, MapReduce, Hive, and Impala.
- Proficient in Apache Spark development, preferably using PySpark or Scala.
- Strong grasp of distributed systems and architectures related to big data.
- Experience maintaining production environments, including troubleshooting and performance optimization.
- Advanced SQL skills with a focus on large-scale query tuning.
- Familiarity with Linux systems, shell scripting, and automation tools.
- Experience using version control systems like Git and CI/CD pipelines is advantageous.
Educational and Additional Experience
- Bachelor's degree in Computer Science or a closely related discipline.
- Experience with cloud platforms (AWS, Azure, Google Cloud) managing big data workloads.
- Knowledge of data orchestration tools such as Kafka, NiFi, or Oozie.
- Familiarity with containerization technologies including Docker and Kubernetes.
- Understanding of security protocols, encryption methods, and data governance.