Hiring Data Engineer - Hadoop and Cloudera

Experience: 8+ Years

Location: Pune

Role Summary

We are looking for an experienced Data Engineering Specialist to design, develop, and optimize scalable data ingestion and ETL pipelines across the Hadoop ecosystem. The ideal candidate should have strong hands-on experience with Apache NiFi, Spark/PySpark, Hadoop/HDFS, Apache Airflow, Cloudera Data Engineering (CDE), Hive, SQL, and Python.

Mandatory Skills
Apache NiFi
Spark/PySpark
Hadoop/HDFS
Apache Airflow
Clouder Data Engineering (CDE)
Hive & SQL
Python

Key Responsibilities
Design, develop, and maintain scalable ETL and data ingestion pipelines.
Build and optimize data processing solutions using Spark, PySpark, and NiFi.
Develop and manage Airflow workflows for scheduling and orchestration.
Work with Hadoop, HDFS, Hive, and CDE for enterprise data processing.




Write effective Hive SQL and Python code for data transformation and automation.
Monitor, troubleshoot, and optimize production data pipelines.
Collaborate with cross-functional teams to deliver reliable data solutions.

Required Skills
8+ years of experience in Data Engineering and Big Data technologies.
Robust expertise in Apache NiFi, Spark/PySpark, Hive, SQL, Python, and Airflow.
Good understanding of Hadoop, HDFS, distributed data processing, and ETL best practices.
Hands-on experience with Cloudera Data Engineering (CDE) or similar enterprise data platforms.
Experience supporting and optimizing production data pipelines.
Robust analytical, problem-solving, and communication skills.

📌 Data Engineer Hadoop & Cloudera Pune (India)
🏢 Sunware Technologies
📍 India