Job Description
Summary
Randstad India is seeking a skilled CDP Engineer (Cloudera Data Platform Engineer) in Hyderabad, Telangana for a leading client in the technology and data engineering sector. This permanent position is ideal for professionals with strong expertise in Big Data tools, distributed systems, and data processing frameworks such as Spark, Hive, Sqoop, HDFS, Yarn, and Oozie. If you are passionate about optimizing data pipelines, managing enterprise-scale CDP environments, and driving data innovation, this is an excellent opportunity to grow your career in one of India’s fastest-growing tech hubs.
Job Details at a Glance
| Job Title | CDP Engineer (Cloudera Data Platform) |
|---|---|
| Location | Hyderabad, Telangana |
| Industry | Big Data, Technology & Engineering |
| Employment Type | Permanent |
| Experience Required | 7–10 years (Big Data & CDP administration) |
| Education | Bachelor’s/Master’s in Computer Science, IT, or related field |
| Key Skills | CDP administration, Spark, Hive, Sqoop, HDFS, Oozie, Yarn, HBase, NiFi |
| Reference ID | JPC – 111966 |
| Application Deadline | 16 November 2025 |
Key Responsibilities
As a CDP Engineer, you will be responsible for ensuring high availability, scalability, and efficiency of Cloudera Data Platform environments.
- Administer and maintain Cloudera Data Platform (CDP) across dev, test, and production environments.
- Manage Big Data ecosystem tools: Spark, Hive, Sqoop, HDFS, MapReduce, Oozie, Yarn, HBase, and NiFi.
- Develop and optimize complex Hive queries using analytical functions for reporting and data transformation.
- Create custom UDFs in Hive to meet business integration needs.
- Implement and monitor data ingestion pipelines using Sqoop, NiFi, and Oozie workflows.
- Work with multiple data formats (CSV, TSV, Parquet, ORC, JSON, AVRO) and compression techniques (Gzip, Snappy).
- Tune and optimize YARN and Spark applications for performance and resource utilization.
- Apply deep knowledge of distributed systems architecture and parallel computing.
- Support Oracle PL/SQL scripting, shell scripting, and data integration tasks.
- Collaborate with cross-functional teams to deliver reliable and scalable data solutions.
Skills & Competencies
- Strong expertise in Cloudera Data Platform administration.
- Hands-on experience with Big Data frameworks (Spark, Hive, HDFS, Yarn, HBase, NiFi).
- Solid knowledge of data ingestion, ETL, and workflow management.
- Strong understanding of distributed computing and parallel processing.
- Proficiency in Oracle PL/SQL and shell scripting.
- Excellent analytical thinking, problem-solving, and troubleshooting skills.
- Strong communication and documentation abilities.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, IT, Data Engineering, or a related field.
- 7–10 years of relevant experience in Big Data and CDP ecosystem management.
- Proven expertise in Hive optimization, Spark performance tuning, and data pipeline management.
- Experience in handling large-scale distributed systems.
Why Join This Role?
- Work on cutting-edge data engineering projects in the Big Data domain.
- Opportunity to manage enterprise-scale CDP environments.
- Be part of a collaborative and innovative work culture.
- Competitive salary with long-term career growth potential.
- Contribute to a client shaping the future of data-driven decision-making.
Apply Now
Advance your career as a CDP Engineer in Hyderabad with Randstad India’s client. Apply today and take the next step in your Big Data engineering journey.