AWS Data Engineering

We are looking for a skilled Software Engineer with strong experience in PySpark, SQL, and AWS cloud services to design, develop, and optimize large-scale data processing pipelines. The ideal candidate will work closely with data scientists, analysts, and business stakeholders to ensure efficient data flow and high-quality data solutions.

Mandatory Technical skills -

• Strong experience in Python, PySpark, and SQL Angular for front-end development.
• Experience with AWS services (S3, CloudWatch, IAM, SNS, Lambda) '
• Work with Angular for front-end integration.
• Collaborate on version control using Git and deployment using Octopus and Azure DevOps.
• Basic knowledge of Scala and HL7 is a plus.

Good to have skills -

• Terraform knowledge Experience with Git, Octopus, and Azure DevOps for CI/CD.
• Familiarity with Terraform for infrastructure management.

Responsibilities -

• Develop and manage ETL processes using Python, PySpark, and SQL. Work with Databricks for data processing.
• Utilize AWS services like S3, CloudWatch, IAM, SNS, and Lambda.
• Design and implement ETL pipelines using PySpark for processing large datasets.
• Develop and optimize SQL queries for data extraction, transformation, and loading.
• Manage and deploy data solutions on AWS services such as S3, EMR, Glue, Lambda, Redshift.
• Ensure data quality, integrity, and security across all processes.
• Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
• Monitor and troubleshoot data workflows for performance and reliability.