Data Engineering

Job Role:

Yrs of Exp :

Job Location :

Work Model :

Job Summary:

Apache Airflow, and DAG (Directed Acyclic Graph) design to join our data platform team. You will be responsible for building robust data pipelines, designing and managing workflow DAGs, and ensuring scalable data transformations to support analytics and business intelligence.

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

  .