Big Data with Airflow Python
4 days ago
Big Data Engineer - Airflow & Python
Location: Bangalore, India
Experience: 5+ years
Job Summary:
Key Responsibilities:
Design, develop, and maintain ETL/ELT pipelines using Apache Airflow.
Write efficient, scalable, and reusable Python scripts for data processing.
Work with big data technologies (Spark, Hadoop, Hive, etc.) to manage and analyze large datasets.
Optimize and automate workflows, ensuring reliability and performance.
Collaborate with cross-functional teams to design and implement data architecture solutions.
Ensure data quality, integrity, and security across pipelines.
Monitor, troubleshoot, and resolve data pipeline failures and bottlenecks.
Work with cloud platforms (AWS/GCP/Azure) to manage data storage and processing.
**Required Skills**:
5+ years of experience in Big Data Engineering.
Strong expertise in Apache Airflow for workflow automation.
Proficiency in Python for data processing and scripting.
Experience with SQL and database management (PostgreSQL, MySQL, etc.).
Hands-on experience with Hadoop, Spark, Hive, or other big data technologies.
Experience working with cloud-based data solutions (AWS S3, GCP BigQuery, Azure Data Lake).
Knowledge of CI/CD pipelines, Docker, and Kubernetes is a plus.
Strong problem-solving skills and ability to work in an agile environment.
Pay: ₹50,000.00 - ₹100,000.00 per month
Schedule:
- Day shift
**Experience**:
- Big data with airflow python: 6 years (required)
Work Location: Remote
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