AWS Data Engineer

1 month ago


Anywhere in IndiaMultiple Locations, IN ARR Recruitment Solutions Full time

Role and Responsibilities :

- Data Engineering : Design, develop, and implement data pipelines and ETL processes using AWS services like Glue, Python, Redshift, and Spark.

- Data Warehousing : Build and maintain data warehouses and data lakes on AWS.

- Data Migration : Migrate data from legacy systems to AWS cloud platforms.

- Data Governance : Implement data governance policies and best practices to ensure data quality and security.

- ETL Development : Develop ETL workflows using tools like Glue and Python.

- Data Transformation : Transform data using SQL, Python, and other programming languages.

- Data Analysis : Analyze data using SQL, Python, and data visualization tools.

- DevOps : Implement DevOps practices for data engineering, including CI/CD pipelines and infrastructure automation.


- Cloud Architecture : Design and implement cloud architectures for data processing and analytics on AWS.

Required Qualifications :

- 6-8 years of experience in data engineering or a related field.

- Strong proficiency in Python and SQL.

- Experience with AWS data services like Glue, Redshift, and Spark.

- Knowledge of ETL processes and data warehousing concepts.

- Experience with data migration and data transformation.

- Understanding of data governance and data quality best practices.

- Experience with DevOps tools and practices.

- Strong analytical and problem-solving skills.

- Excellent communication and collaboration skills.

Preferred Qualifications :

- Experience with Airflow for workflow orchestration.

- Knowledge of machine learning and data science techniques.

- Certifications in AWS data engineering or related fields

(ref:hirist.tech)
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