AWS Data Engineer- Lead

AWS Data Engineer- lead
Years of Experience: 5-7 Years

Job Summary: We are seeking a skilled Data Pipeline Engineer to design develop and maintain scalable data pipelines using AWS technologies. The ideal candidate will have hands-on experience with AWS Glue Glue Catalog Amazon S3 Athena and AWS Lambda and will be proficient in building and optimizing ETL/ELT workflows using PySpark and Python. This role requires an independent contributor who can work under tight timelines and deliver robust solutions.

Responsibilities:

• Design develop and maintain scalable data pipelines using AWS Glue Glue Catalog Amazon S3 Athena and AWS Lambda.
• Build and optimize ETL/ELT workflows using PySpark and Python for large-scale data processing.
• Develop and manage real-time data streaming pipelines using Apache Kafka ensuring low latency and high reliability.
• Create maintain and optimize SQL queries for data extraction transformation and analysis.
• Implement data ingestion frameworks to handle both batch and streaming data from multiple sources.
• Troubleshoot debug and optimize data workflows to meet performance and scalability requirements.
• Ensure data quality consistency and integrity across different data platforms and pipelines.
• Collaborate with cross-functional teams (data engineers analysts and stakeholders) to understand data requirements and deliver robust solutions.
• Monitor and maintain production pipelines ensuring high availability and quick issue resolution.

Mandatory Skills:

• Hands-on experience with AWS Glue Glue Catalog tables Athena S3 and Lambda.
• Proficiency in PySpark and Python.
• Experience with Apache Kafka for building real-time data pipelines.
• Strong SQL skills for data extraction and transformation.
• Ability to work independently and deliver solutions under tight timelines.

Preferred Skills:

• Experience with Glue Streaming.
• Familiarity with AWS CDK.

Qualifications: Bachelors degree in Computer Science Engineering or a related field.