Senior Data Engineer

Seeking a Senior Data Engineer to drive data modernization initiatives, assess legacy Informatica workflows, and lead the development of scalable Python-based ETL solutions. The role requires strong technical expertise and the ability to work closely with cross-functional teams.

What You Will Do

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, and perform data profiling impact assessments and workflow optimization.

Why It Might Be a Fit

The ideal candidate will have 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, and excellent communication and stakeholder management skills.

Requirements

• 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
• Excellent communication and stakeholder management skills

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