Data Engineer(Remote)

2 weeks ago

Remote, India Rapsys Technologies Pte. Ltd Full time ₹ 5,00,000 - ₹ 18,41,614 per year

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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