Qualifications

• 6-9 years of Data Engineering experience.
• Strong expertise in Informatica, Python ETL, and SQL.
• Hands-on experience with Java Spring Batch.
• Experience with AWS-based data solutions.
• Strong understanding of data integration, workflow orchestration, and batch processing.
• Familiarity with AI-assisted development and automation tools.
• Excellent communication and stakeholder management skills.

Responsibilities

• Analyze and assess complex Informatica workflows and data processing frameworks.
• Design and develop scalable ETL pipelines using Python, SQL, and modern data engineering practices.
• Lead migration efforts from legacy ETL platforms to modern Python-based solutions.
• Develop and optimize batch-processing solutions using Java Spring Batch.
• Perform data profiling, impact assessments, and workflow optimization.
• Leverage Generative AI and Copilot capabilities to accelerate workflow analysis and modernization activities.
• Collaborate with architects, business analysts, and application teams to ensure successful delivery.
• Mentor junior engineers and promote engineering best practices.

Benefits

• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief