Job Description

Summary

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.

Responsibilitie

s

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 Type: Contractual / Temporary
Contract length: 12 months

Experience:

Data engineer: 6 years (Required) Python: 1 year (Required) Airflow: 1 year (Required) AWS service S3, Glue, EMR, Redshift, and AWS Lambda.: 1 year (Required) PySpark: 1 year (Required) SQL: 1 year (Required)
Work Location: Remote