Senior Python / DAG Developer

We are seeking a highly experienced and skilled Senior Python/DAG Developer to join our data engineering team. In this role, you will be responsible for designing, developing, and maintaining complex data pipelines and workflows. The ideal candidate will have a deep understanding of data orchestration principles, extensive experience with Python, and a proven track record of building robust and scalable Directed Acyclic Graphs (DAGs) using tools like Apache Airflow. You will be a key player in our effort to build the next generation of data infrastructure, ensuring data is processed efficiently and reliably across the organization.

• Design & Development: Architect, build, and maintain efficient and scalable data pipelines using Python and DAG-based orchestration tools (e.g., Apache Airflow, Dagster, Prefect).
  
• Orchestration: Develop, schedule, and monitor complex data workflows, ensuring timely and accurate data delivery for business intelligence, analytics, and machine learning initiatives.
  
• Optimization: Identify performance bottlenecks and refactor data pipelines to improve efficiency, reliability, and cost-effectiveness.
  
• Collaboration: Work closely with data scientists, analysts, and other engineers to understand data requirements and deliver solutions that meet business needs.
  
• Code Quality: Uphold and promote best practices in coding, including code reviews, documentation, and automated testing to ensure long-term maintainability.
  
• Troubleshooting: Diagnose and resolve issues within data pipelines and orchestration systems, responding to incidents and minimizing downtime.
  
• Mentorship: Act as a subject matter expert and mentor junior developers, sharing knowledge of best practices in Python and data engineering.
  

• Experience: 7+ years in software development with strong focus on Python for data engineering/ETL.
  
• Python: Expert-level proficiency with clean, production-ready coding.
  
• DAGs & Orchestration: 3–5 years of experience with Apache Airflow or similar platforms; strong understanding of Airflow concepts (operators, sensors, hooks, XComs).
  
• Database Skills: Strong SQL and relational database expertise (PostgreSQL, MySQL); knowledge of NoSQL and data warehouses (Snowflake, BigQuery) is a plus.
  
• Cloud Platforms: Hands-on experience with AWS, GCP, or Azure and their data services (e.g., S3, Cloud Storage, EMR, Dataproc).
  
• Data Formats: Familiarity with Parquet, Avro, JSON, and transformation techniques.
  
• Version Control: Strong knowledge of Git and collaborative workflows.
  
• Problem-Solving: Excellent analytical and troubleshooting skills.
  

• Experience with streaming data technologies (Kafka, Spark Streaming, Flink).
  
• Knowledge of Docker and Kubernetes.
  
• Experience with CI/CD pipelines for data engineering.
  
• Familiarity with data governance and security.
  
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  

Job Type: Contract

Pay: ₹55.82 - ₹67.23 per hour

Work Location: Remote