Job Description
Summary
Python + Airflow + Snowflake Data Engineer
We are seeking a highly skilled Python / Airflow Data Engineer with 7 to 8 years of experience,
specifically with a strong background in AWS technologies. The ideal candidate will have a
deep understanding of Apache Airflow and its integration within AWS ecosystem, enabling
efficient data pipeline orchestration and management.
- Responsibilities
- Design, develop, and maintain complex data pipelines using Python for efficient data
- processing and orchestration.
- Collaborate with cross-functional teams to understand data requirements and
- architect robust solutions within the AWS environment.
- Implement data integration and transformation processes to ensure optimal
- performance and reliability of data pipelines.
- Optimize and fine-tune existing data pipelines / Airflow to improve efficiency,
- scalability, and maintainability.
- Troubleshoot and resolve issues related to data pipelines, ensuring smooth
- operation and minimal downtime.
- Work closely with AWS services like S3, Glue, EMR, Redshift, and other related
- technologies to design and optimize data infrastructure.
- Develop and maintain documentation for data pipelines, processes, and system
- architecture.
- Stay updated with the latest industry trends and best practices related to data
engineering and AWS services.
- Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Proficiency in Python, PySpark and SQL for data processing and manipulation.
- Min 5 years of experience in data engineering, specifically working with Apache
- Airflow and AWS technologies.
- Strong knowledge of AWS services, particularly S3, Glue, EMR, Redshift, and AWS
- Lambda.
- Understanding of Snowflake Data Lake is preferred.
- Experience with optimizing and scaling data pipelines for performance and
- efficiency.
- Good understanding of data modeling, ETL processes, and data warehousing
- concepts.
- Excellent problem-solving skills and ability to work in a fast-paced, collaborative
- environment.
- Effective communication skills and the ability to articulate technical concepts to
non-technical stakeholders.
- Preferred Qualifications:
- AWS certification(s) related to data engineering or big data.
- Experience working with big data technologies like Snowflake, Spark, Hadoop, or
- related frameworks.
- Familiarity with other data orchestration tools in addition to Apache Airflow.
- Knowledge of version control systems like Bitbucket, Git.
Job Types: Full-time, Contractual / Temporary
Pay: ₹500,911.64 - ₹1,841,614.32 per year
Work Location: Remote
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