Kazhuga is hiring Data Engineers with strong hands-on experience in Hadoop and PySpark to work on enterprise-scale data engineering and cloud modernization initiatives.

Significant**

Please apply ONLY if you have hands-on project experience in:

- Hadoop Ecosystem
- PySpark / Apache Spark
- On-Premise to Cloud Migration

Candidates without the above experience will not be considered.

Responsibilities

- Develop and optimize ETL/ELT pipelines using PySpark and Spark.
- Design and maintain large-scale data processing solutions on Hadoop.
- Participate in on-premise to cloud migration projects.
- Build scalable data ingestion and transformation pipelines.
- Optimize data processing performance and troubleshoot production issues.
- Collaborate with architects and cross-functional engineering teams.

Mandatory Skills

- 4-6 years of Data Engineering experience
- Hadoop (Mandatory)
- PySpark / Apache Spark (Mandatory)
- Python
- SQL
- ETL/Data Pipelines
- Linux & Git





Preferred Skills

- AWS / Azure / GCP
- Apache Airflow
- Kafka
- Apache Iceberg
- Databricks or Snowflake
- Docker / Kubernetes

Preferred Candidate Profile We are looking for candidates who have:

- 4-6 years of relevant Data Engineering experience.
- Hands-on experience with Hadoop and PySpark in production environments.
- Experience working on On-Premise to Cloud Migration projects.
- Strong SQL and Python skills.
- Excellent analytical and problem-solving abilities.

Do NOT apply if

- Your experience is primarily in BI, Data Analytics, Power BI, Tableau, SQL Developer, Database Administration, Testing, Java Development, or generic Software Development without Hadoop & PySpark experience.
- You do not have hands-on Hadoop project experience.

📌 Senior Data Engineer (Bengaluru)
🏢 Kazhuga
📍 Bengaluru