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working at a client of randstad india

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cdp engineer

apply
  • hyderabad, telangana
  • posted 17 september 2025
this job offer closes 23 december 2025

job details

this job offer closes 23 december 2025

summary

  • hyderabad, telangana
  • a client of randstad india
  • permanent
posted 17 september 2025
  • reference number
    JPC - 111966

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randstad professional

randstad professional

we bring diverse and pre qualified professional talent and businesses together to connect the right people with the right roles. by building specialized teams, we help individuals flourish in their careers and businesses succeed.

job details
Job Description:
- Administer and maintain the Cloudera Data Platform (CDP) across all environments (dev/test/prod)
- Strong expertise in Big Data ecosystem like Spark, Hive, Sqoop, HDFS, Map Reduce, Oozie, Yarn, HBase, Nifi.
- Develop and optimize complex Hive queries, including the use of analytical functions for reporting and data
...
transformation.
- Create custom UDFs in Hive to handle specific business logic and integration needs.
- Ensure efficient data ingestion and movement using Sqoop, Nifi, and Oozie workflows.
- Work with various data formats (CSV, TSV, Parquet, ORC, JSON, AVRO) and compression techniques (Gzip, Snappy)
to maximize performance and storage.
- Monitor and tune performance of YARN and Spark applications for optimal resource utilization.
- In depth Knowledge on Architecture of Distributed Systems and Parallel Computing.Internal- Good knowledge in Oracle PL/SQL and shell scripting.
- Strong problem-solving and analytical thinking.
- Effective communication and documentation skills.
- Ability to collaborate across multi-disciplinary teams.
- Self-driven with the ability to manage multiple priorities under tight timelines.

experience

5
show more
Job Description:
- Administer and maintain the Cloudera Data Platform (CDP) across all environments (dev/test/prod)
- Strong expertise in Big Data ecosystem like Spark, Hive, Sqoop, HDFS, Map Reduce, Oozie, Yarn, HBase, Nifi.
- Develop and optimize complex Hive queries, including the use of analytical functions for reporting and data
transformation.
- Create custom UDFs in Hive to handle specific business logic and integration needs.
- Ensure efficient data ingestion and movement using Sqoop, Nifi, and Oozie workflows.
- Work with various data formats (CSV, TSV, Parquet, ORC, JSON, AVRO) and compression techniques (Gzip, Snappy)
to maximize performance and storage.
- Monitor and tune performance of YARN and Spark applications for optimal resource utilization.
- In depth Knowledge on Architecture of Distributed Systems and Parallel Computing.Internal- Good knowledge in Oracle PL/SQL and shell scripting.
- Strong problem-solving and analytical thinking.
- Effective communication and documentation skills.
- Ability to collaborate across multi-disciplinary teams. ...
- Self-driven with the ability to manage multiple priorities under tight timelines.

experience

5
show more