Data Engineer

We are looking for a Data Engineer with hands-on experience in Apache Airflow, Python, and Jupyter Notebook to build, orchestrate, and maintain robust data pipelines that power our analytics and business decisions.

Responsibilities:

• Design, build, and maintain scalable ETL/ELT data pipelines using Airflow and Python.
• Schedule, monitor, and troubleshoot DAGs to ensure reliable data flow.
• Perform data extraction, cleaning, transformation, and validation from multiple sources.
• Use Jupyter Notebook for exploratory data analysis, prototyping, and pipeline testing.
• Collaborate with data analysts, data scientists, and product teams to understand data requirements.
• Ensure data quality, integrity, and pipeline performance at scale.
• Maintain clear documentation of pipelines and data workflows.

Requirements:

• 1-2 years of hands-on experience in data engineering.
• Strong proficiency in Python for data processing and scripting.
• Working experience with Apache Airflow (DAG design, scheduling, orchestration).
• Comfortable working in Jupyter Notebook for analysis and prototyping.
• Good understanding of SQL, databases, and data modeling concepts.
• Familiarity with cloud platforms (AWS/GCP/Azure) is a plus.

Preferred:

• B. Tech. /B. E. from NIT or IIT.
• Exposure to big data tools (Spark, Kafka) or data warehousing concepts is a plus.

Skills

Airflow, Python, Jupyter, Data Engineering, Data Streaming, Data Analysis, ETL, Data Warehousing, Kafka, Spark, SQL