Data Engineer designing and optimizing data workflows at Synechron. Overseeing scalable data pipeline development with Ab-initio and Python expertise.
Responsibilities
Lead the design, development, testing, and deployment of scalable data pipelines utilizing Ab-initio and Python
Drive migration efforts from legacy Ab-initio workflows to Python-based data processing services
Collaborate with stakeholders to understand data needs, translating them into efficient, well-documented solutions
Ensure data quality, security, and performance across platforms and processes
Mentor team members on data engineering techniques, tools, and emerging best practices
Requirements
Minimum of 7+ years of professional experience in data engineering or related roles with impactful projects
Proven hands-on expertise with Ab-initio and Python in large-scale data environments
Experience in migrating workflows from legacy to modern pipelines is strongly preferred
Bachelor's degree in Computer Science, Data Engineering, Engineering, or related field; Master’s degree preferred
Relevant certifications in Python, cloud platforms, or data tools (e.g., AWS Certified Data Analytics, GCP Professional Data Engineer) are advantageous
Benefits
Diversity, Equity, and Inclusion initiatives
Flexible workplace arrangements
Mentoring programs
Professional development programs
Opportunities for internal mobility
Job title
Data Engineer – Ab-initio, Python, Spark, Cloud Data Platforms
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