Backend Engineer

1 week ago

New York, United States Synechron Inc. Full time
We are

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron's progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honoured with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets.

Our challenge

We are seeking a highly skilled and motivated individual with a strong technical background to join our team. An experienced Python Backend team , need to have experience in Java , & Bigdata with banking background and other relevant technologies, This role requires excellent communication and soft skills.

Additional Information*

The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within NYC NY is $95K - $100K/year & benefits (see below).

Job Description:

We are seeking a skilled and motivated Backend Developer with expertise in Big Data technologies to join our dynamic team. The ideal candidate will have strong experience working with Apache Spark and a solid background in Java and Python programming. This role involves building scalable, high-performance backend services, optimizing data pipelines, and contributing to a robust data infrastructure. If you are passionate about solving complex data problems and working with cutting-edge technologies, we'd love to hear from you.

Responsibilities:
  • Design, develop, and maintain backend services for processing large-scale datasets in real-time and batch environments using Apache Spark and other Big Data frameworks.
  • Build and optimize data pipelines to support various business needs, ensuring data integrity, quality, and security.
  • Collaborate with data engineers, data scientists, and other stakeholders to design scalable, efficient systems for data ingestion, transformation, and storage.
  • Implement RESTful APIs and integrate them with various frontend and third-party systems.
  • Write clean, maintainable, and scalable code using Java and Python while following best practices and coding standards.
  • Perform data modeling and ensure efficient querying of large datasets.
  • Ensure the scalability, performance, and security of backend systems to handle large volumes of structured and unstructured data.
  • Conduct performance tuning, load balancing, and troubleshoot production issues related to data processing and backend services.
  • Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
Requirements:
  • Strong experience in Java and Python programming languages for backend development.
  • Hands-on experience in building pipeline in airflow/Kubeflow.
  • Hands-on experience with distributed computing, data partitioning, and parallel processing techniques.
  • Familiarity with cloud platforms (AWS, GCP, Azure) and related Big Data services (e.g., Dataproc, BigQuery, Snpwflake).
  • Experience in building and optimizing ETL processes for large-scale data sets.
  • Understanding of microservices architecture and experience in building scalable services.
  • Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.
  • Strong problem-solving skills, attention to detail, and a proactive attitude.
We can offer you:
  • A highly competitive compensation and benefits package
  • A multinational organization with 58 offices in 21 countries and the possibility to work abroad
  • Laptop and a mobile phone
  • 10 days of paid annual leave (plus sick leave and national holidays)
  • Maternity & Paternity leave plans
  • A comprehensive insurance plan including: medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)
  • Retirement savings plans
  • A higher education certification policy
  • Commuter benefits (varies by region)
  • Extensive training opportunities, focused on skills, substantive knowledge, and personal development.
  • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses
  • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups
  • Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms
  • A flat and approachable organization
  • A truly diverse, fun-loving and global work culture
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.

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