Senior Data Engineer job opportunity at Synechron.



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Synechron Senior Data Engineer
Experience: General
Pattern: full-time
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loacation Sydney - Client Location, Australia
loacation Sydney - Clien..........Australia

About Synechron: Synechron is a renowned digital transformation consulting firm, partnering with leading financial institutions and global enterprises to drive innovation and operational excellence. Our focus on cutting-edge technology enables us to deliver tailored solutions that shape the future of banking, finance, and beyond. Job Description: We are seeking a skilled Data Engineer with expertise in Python and Apache Airflow to design, develop, and maintain efficient data pipelines. The ideal candidate will have a strong background in cloud-native data services, containerized data workflows, and small-volume ETL processes, contributing to our data-driven initiatives. Responsibilities: Develop, deploy, and maintain scalable data pipelines using Python and Apache Airflow for orchestration. Build and manage containerized data workflows to ensure portability and consistency. Collaborate with data scientists and analysts to understand data requirements and optimize data ingestion and transformation. Design and implement ETL processes for small-volume data integration and processing. Work with cloud-native data services, ensuring pipelines are efficient and reliable. Maintain and enhance database solutions such as Aurora PostgreSQL or similar serverless databases. Monitor pipeline performance, troubleshoot issues, and optimize workflows for efficiency. Adhere to best practices in data security, governance, and documentation. Skills & Experience: Proficiency in Python, especially Pandas and related data manipulation libraries. Hands-on experience with Apache Airflow for building and scheduling workflows. Experience developing and managing containerized data pipelines using Docker or similar technologies. Familiarity with cloud-native data services (AWS, GCP, Azure) and small-volume ETL processes. Knowledge of Aurora PostgreSQL or other serverless database solutions. Understanding of data governance, security, and best practices in data engineering. Excellent problem-solving skills and ability to work independently or within a team. Strong communication skills to collaborate effectively across technical teams. Preferred Qualifications: Experience working with cloud platforms like AWS, GCP, or Azure. Knowledge of other data orchestration tools. Familiarity with data modeling and database optimization. Experience working in financial services or regulated industries is a plus. Why Join Synechron? Engage in innovative data projects with leading global clients. Opportunity to work with cutting-edge cloud-native tools and technologies. Competitive salary and comprehensive benefits package. Focus on professional growth and continuous learning. Dynamic, collaborative work environment with flexible working options. S​ YNECHRON’S DIVERSITY & INCLUSION STATEMENT   Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law . Candidate Application Notice

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