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Hiring: Cloudera Data Engineer
Location: Bangalore
Experience: 6–10 Years
Budget: Up to 26 LPA
We are looking for an experienced Cloudera Data Engineer to join a high-performing data engineering team and work on large-scale Big Data platforms.
Required Skills:
Cloudera Platform
Hadoop Ecosystem
Apache Spark
Apache Kafka
Big Data Technologies
Python and/or Java
Data Pipeline Development
Key Responsibilities:
Design, develop, and optimize scalable data pipelines
Work with large-scale distributed data processing systems
Build and maintain Big Data solutions using Cloudera, Hadoop, Spark, and Kafka
Collaborate with cross-functional teams to deliver data-driven solutions
Ensure data quality, performance, and reliability across platforms
Ideal Candidate:
6–10 years of Data Engineering experience
Strong hands-on expertise in Cloudera and Hadoop ecosystem
Experience with real-time and batch data processing
Strong programming skills in Python or Java
Ability to work in a fast-paced enterprise environment
Interested candidates can share their updated resume at: [HIDDEN TEXT]
Contact: +91 91500 08906
Please share within your network and tag suitable candidates.
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Kamlax Global Technologies is a leading IT services & business solution provider delivering cutting edge technology solutions to enterprises across the world.
we add value to organizations through a synergy of skills, technology insight, innovation, products and services that orchestrate our customer's business to perfection. Our expertise bridges the gap between the businesses and IT and offers detailed, process-driven solutions enabling our customers to enhance productivity and achieve better ROI.
Job ID: 148615865
Skills:
Spark SQL, Pyspark, Jenkins, Databricks, Photon Engine, Python, Azure DevOps, Expectations, Spark Structured Streaming, Auto-Optimize, Dynamic Partition Overwrite, DLT, Z-Ordering, dbt on Databricks, CI CD, Auto Loader, Delta Live Tables, Unity Catalog, Git integration, Liquid Clustering, Delta Lake, Delta constraints, Databricks Workflows
We don’t charge any money for job offers
