Hello Connections !! 
We are hiring for Data Engineer+Java.
Exp : 4+Years 
Loc : Pune (Hybrid) 
Interview: F2F drive on 10th Oct and 11th Oct (All rounds till HR discussion) 
Shift Timings : General Shift 
Notice Period:  Immediate joiners(notice period served or serving candidate) 
Mandatory Skills : 
- Data Engineer 
- ETL Pipelines 
- Java Coding (atleast 6months to 1Year) 
- DBT (Data Build Tool) 
- Apache Airflow 
NOTE: We are looking for Immediate joiners(notice period served or serving candidate)  
Apply only If you are Immediate joiners(notice period served or serving candidate)  
Apply only if you are having 4+Years of relevant experience into the above mentioned mandatory skills.
 
Key Responsibilities:  
- Design, implement, and optimize ETL/ELT pipelines  using DBT  for data modeling and transformation.
 
 
- Develop backend components and data processing logic using Java .
 
 
- Build and maintain DAGs in Apache Airflow  for orchestration and automation of data workflows.
 
 
- Ensure the reliability, scalability, and efficiency of data pipelines for ingestion, transformation, and storage.
 
 
- Work with cross-functional teams to understand data needs and deliver high-quality solutions.
 
 
- Troubleshoot and resolve data pipeline issues in production environments.
 
 
- Apply data quality and governance best practices, including validation, logging, and monitoring.
 
 
- Collaborate on CI/CD deployment pipelines for data infrastructure.
 
 
Required Skills & Qualifications:  
- 4+ years of hands-on experience in data engineering  roles.
 
 
- Strong experience with DBT  for modular, testable, and version-controlled data transformation.
 
 
- Proficient in Java , especially for building custom data connectors or processing frameworks.
 
 
- Deep understanding of Apache Airflow  and ability to design and manage complex DAGs .
 
 
- Solid SQL skills and familiarity with data warehouse platforms (e.g., Snowflake, Redshift, BigQuery).
 
 
- Familiarity with version control tools (Git), CI/CD pipelines, and Agile methodologies.
 
 
- Exposure to cloud environments like AWS , GCP , or Azure .
 
 
Feel free to Connect with me on   for any clarification that you might be needed