Job Summary We are seeking a highly motivated and detail-oriented Data Engineer who is flexible, proactive, and capable of working independently. The ideal candidate will possess strong communication and coordination skills, with a high level of diligence and attention to detail. A strong ownership mindset is essential for this role.
Responsibilities
Collaborate effectively with cross-functional teams to ensure seamless project execution.
Demonstrate solid ownership by working independently with minimal supervision.
Proactively identify issues and implement timely solutions.
Maintain high standards of accuracy and attention to detail in all deliverables.
Utilize SQL and data warehousing concepts to manage and analyze data.
Work hands-on with Amazon Redshift and workflow orchestration tools such as Airflow (DAGs).
Leverage AWS services including Glue Jobs, Step Functions, RDS, and SageMaker.
Develop and maintain data pipelines using PySpark and Python.
Implement MLOps practices to streamline machine learning workflows.
Utilize version control tools such as GitHub, including Copilot, for CI/CD processes.
Architect and design data solutions while troubleshooting issues as they arise.
Mandatory Skills
Strong experience in SQL and data warehousing concepts.
Hands-on experience with Amazon Redshift.
Expertise in workflow orchestration tools such as Airflow (DAGs).
Experience with AWS services including Glue Jobs, Step Functions, RDS, and SageMaker.
Proficiency in PySpark and Python.
Understanding of MLOps practices.
Familiarity with version control tools such as GitHub (including Copilot).
Preferred Skills
Experience with AWS Glue, Lambda, S3, IAM.
Knowledge of CI/CD processes and GitHub.
Familiarity with M365 Copilot.
Experience with SSIS, Netezza, and BMO Process knowledge, including any CDKs.
Qualifications bachelor's degree in computer science, Information Technology, or a related fie
📌 AWS DE- Gen AI (Chennai)
🏢 Virtusa
📍 Chennai
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