Data Engineer

• Data Engineer
• Malvern, PA or Charlotte, NC

Job Description:-

• 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.