Data Engineer(Remote)
2 weeks ago
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, ₹1,841,614.32 per year
Work Location: Remote
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