Data Platform Engineer (Python Airflow AWS Snowflake Data Engineer)

Epergne Solutions is looking for Data Platform Engineer (Python + Airflow Data Engineer)

Total Yrs

of Experience* 6+ yrs

Relevant Yrs

of experience* 5+ yrs

Mandatory skills* Python / Airflow Data Engineer

Budget:As per market Standards

Work Location* Pune, Bangalore

ModeWork from Office

Positions:Contract

Payroll:Epergne solutions

Detailed JD *(Roles and Responsibilities)

We are seeking a highly skilled with 3 to 6 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

Bachelors degree in Computer Science, Engineering, or a related field.

Proficiency in Python 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 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

Preferred candidates who can join in 30 days/lesser Notice Period