Job Description: Job Title: Data Engineer (5+ Years Experience)

Job Summary

Key Responsibilities

- Develop and maintain data pipelines using PySpark and Python, Hive, Oozie
- Write efficient SQL queries for data extraction, transformation, and validation
- Assist in integrating data from multiple sources and ensuring data accuracy
- Support debugging, monitoring, and optimization of data pipelines
- Collaborate with team members to understand data requirements and deliver solutions
- Follow best practices for data engineering and documentation

Required Skills (Primary)

- 5+ years of hands-on experience in PySpark , SQL , and Python :

- 5+ years of hands-on experience in Big Data Tools like Hive ,Oozie :

- Working knowledge of cloud environments (preferably AWS )

- Understanding of data processing and ETL concepts

Secondary Skills

- Basic experience with Databricks :

- Familiarity with Linux/Unix commands for working on edge nodes

- Exposure to scheduling or orchestration tools

Good to Have

- Basic understanding of finance domain :

- Exposure to Hive and Oozie :

- Understanding of data warehousing concepts





- DBT, DAGSTER

Qualifications

- Bachelor's degree in computer science, Engineering, or related field
- 5+ years of relevant experience in data engineering or big data technologies

Soft Skills

- Valuable analytical and problem-solving skills
- Effective communication and teamwork abilities
- Willingness to learn and adapt in a fast-paced environment
- Responsibilities: Develop and maintain data pipelines using PySpark and Python, Hive, Oozie
- Write efficient SQL queries for data extraction, transformation, and validation
- Assist in integrating data from multiple sources and ensuring data accuracy
- Support debugging, monitoring, and optimization of data pipelines
- Collaborate with team members to understand data requirements and deliver solutions
- Follow best practices for data engineering and documentation

Qualifications: Graduate in Computer Science, Data Science, or related field. 5+ years of experience in data engineering or related field.

📌 Assistant Manager (Pune)
🏢 EXL Service
📍 Pune