Data Engineer
Q1 Technologies
Job Title: Data Engineer
Duration- Fulltime Permanent
Location: Malvern, PA, 19355 / Charlotte, NC, 28262 (Hybrid /requiring 3 days onsite Mandate (Tuesday, Wednesday, and Thursday) (Local Only) Job Description:
Data Engineer Python, Glue ETL, Attunity, Pyspark, AWS (S3, IAM, Lambda, Cloud Formation)(must)
Must Have Technical/Functional Skills
Python, Glue ETL, Attunity, Pyspark, AWS (S3, IAM, Lambda, Cloud Formation)
Roles & Responsibilities
• Design, develop, and maintain scalable ETL/data integration pipelines using AWS Glue, PySpark, and Python.
• Develop and optimize data transformation workflows to process large datasets from multiple source systems.
• Utilize Attunity for real-time and batch data replication between on-premises and cloud environments.
• Build and manage data lakes and storage solutions using Amazon S3, ensuring data quality, security, and governance.
• Implement serverless data processing solutions using AWS Lambda and integrate with other AWS services.
• Configure and manage IAM roles, policies, and permissions to ensure secure access to AWS resources.
• Automate infrastructure provisioning and deployment using AWS CloudFormation.
• Monitor, troubleshoot, and optimize ETL jobs, data pipelines, and cloud resources for performance and reliability.
• Collaborate with business, analytics, and application teams to gather requirements and deliver data solutions.
• Support CI/CD processes, perform code reviews, and maintain technical documentation following best practices.
Generic Managerial Skills, If any
• Planning & Execution - Effectively prioritize tasks, estimate effort, and ensure timely delivery of project milestones while balancing multiple commitments.
• Stakeholder Management - Build strong relationships with business teams, clients, and leadership through proactive communication and expectation management.
• Communication - Convey technical and non-technical information clearly through meetings, presentations, documentation, and status updates.
• Collaboration - Foster teamwork across cross-functional groups, encourage knowledge sharing, and contribute to a positive team environment.
• Decision Making - Analyze options, assess risks, and make informed decisions that align with both technical and business objectives.
• Leadership & Ownership - Take accountability for deliverables, drive initiatives proactively, and lead by example to achieve team goals.
• Risk & Issue Management - Identify potential risks early, address blockers proactively, and implement mitigation strategies to ensure smooth project execution.
• Customer & Business Focus - Understand customer needs and business priorities, ensuring technical solutions deliver measurable value.
• Mentoring & Coaching - Support team growth through guidance, code reviews, knowledge sharing, and skill development initiatives.
• Project & Change Management - Adapt effectively to evolving requirements, manage priorities during change, and ensure successful delivery outcomes.
Duration- Fulltime Permanent
Location: Malvern, PA, 19355 / Charlotte, NC, 28262 (Hybrid /requiring 3 days onsite Mandate (Tuesday, Wednesday, and Thursday) (Local Only) Job Description:
Data Engineer Python, Glue ETL, Attunity, Pyspark, AWS (S3, IAM, Lambda, Cloud Formation)(must)
Must Have Technical/Functional Skills
Python, Glue ETL, Attunity, Pyspark, AWS (S3, IAM, Lambda, Cloud Formation)
Roles & Responsibilities
• Design, develop, and maintain scalable ETL/data integration pipelines using AWS Glue, PySpark, and Python.
• Develop and optimize data transformation workflows to process large datasets from multiple source systems.
• Utilize Attunity for real-time and batch data replication between on-premises and cloud environments.
• Build and manage data lakes and storage solutions using Amazon S3, ensuring data quality, security, and governance.
• Implement serverless data processing solutions using AWS Lambda and integrate with other AWS services.
• Configure and manage IAM roles, policies, and permissions to ensure secure access to AWS resources.
• Automate infrastructure provisioning and deployment using AWS CloudFormation.
• Monitor, troubleshoot, and optimize ETL jobs, data pipelines, and cloud resources for performance and reliability.
• Collaborate with business, analytics, and application teams to gather requirements and deliver data solutions.
• Support CI/CD processes, perform code reviews, and maintain technical documentation following best practices.
Generic Managerial Skills, If any
• Planning & Execution - Effectively prioritize tasks, estimate effort, and ensure timely delivery of project milestones while balancing multiple commitments.
• Stakeholder Management - Build strong relationships with business teams, clients, and leadership through proactive communication and expectation management.
• Communication - Convey technical and non-technical information clearly through meetings, presentations, documentation, and status updates.
• Collaboration - Foster teamwork across cross-functional groups, encourage knowledge sharing, and contribute to a positive team environment.
• Decision Making - Analyze options, assess risks, and make informed decisions that align with both technical and business objectives.
• Leadership & Ownership - Take accountability for deliverables, drive initiatives proactively, and lead by example to achieve team goals.
• Risk & Issue Management - Identify potential risks early, address blockers proactively, and implement mitigation strategies to ensure smooth project execution.
• Customer & Business Focus - Understand customer needs and business priorities, ensuring technical solutions deliver measurable value.
• Mentoring & Coaching - Support team growth through guidance, code reviews, knowledge sharing, and skill development initiatives.
• Project & Change Management - Adapt effectively to evolving requirements, manage priorities during change, and ensure successful delivery outcomes.
Vacancy posted 1 day ago
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