01Key Responsibilities
Design, develop, and manage ETL workflows using AWS Glue.
Integrate data from multiple sources such as RDS, S3, Redshift, and other AWS services.
Transform raw data into structured formats for analysis, reporting, and business intelligence.
Optimize and fine-tune Glue jobs for performance and scalability.
Ensure proper data validation, error handling, and data quality in pipelines.
Collaborate with cross-functional teams, including data analysts, data scientists, and business stakeholders, to understand data requirements and deliver solutions.
Implement best practices for data processing, data security, and data governance within AWS environments.
Monitor and troubleshoot AWS Glue jobs and ensure the reliability of the data pipelines.
Provide technical support and guidance on AWS Glue usage and configurations.
Stay updated with the latest AWS services and features, ensuring that solutions leverage cutting-edge technologies.
Required Skills and Qualifications:
3-5 years of experience in designing and building ETL pipelines using AWS Glue.
Proficiency in writing and optimizing PySpark or Python scripts for Glue jobs.
Strong experience with AWS cloud services including S3, RDS, Lambda, Redshift, Athena, and IAM.
Understanding of data formats such as Parquet, Avro, ORC, and JSON.
Hands-on experience in building data lakes and data warehouses on AWS.
Experience with data modeling, database design, and working with large-scale data.
Robust troubleshooting skills and experience with performance tuning ETL jobs.
Experience with workflow orchestration tools such as AWS Step Functions or Airflow.
Familiarity with AWS security best practices, including IAM roles, policies, and encryption.
Strong problem-solving skills with attention to detail.
Excellent communication and collaboration skills.
About Status Neo
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