Hiring For Data Engineer_Pune_MNC

Hi,

Greetings!!!

Role

Experience

Location:

Work Model

Mail Skills: Data Engineer with Java, ETL, Apache, SQL

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, Big Query).
• Familiarity with version control tools (Git), CI/CD pipelines, and Agile methodologies.
• Exposure to cloud environments like AWS, GCP, or Azure.