Senior AWS Data Engineer [Equity & Fixed Income asset/ Indices experience]

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 honored 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:

Contribute to building state-of-the-art data platforms in AWS, leveraging Python and Spark. Be part of a dynamic team, building data solutions in a supportive and hybrid work environment. This role is ideal for an experienced data engineer looking to step into a leadership position while remaining hands-on with cutting-edge technologies. You will design, implement, and optimize ETL workflows using Python and Spark, contributing to our robust data Lakehouse architecture on AWS. Success in this role requires technical expertise, strong problem-solving skills, and the ability to collaborate effectively within an agile team.

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 For Mill, SC is $130K-140K/year & benefits (see below).

The Role

Responsibilities:

• Provides guidance on best practices in design, development, and implementation, ensuring solutions meet business requirements and technical standards.

• Works closely with architects, Product Owners, and Dev team members to decompose solutions into Epics, leading design and planning of these components.
• Drive the migration of existing data processing workflows to the Lakehouse architecture, leveraging Iceberg capabilities.

• Communicates complex technical information clearly, tailoring messages to the appropriate audience to ensure alignment.

Requirements:

• Bachelor s degree in computer science, Software Engineering, or related field essential.
• Over 10+ years of AWS Data Engineering experience
• Financial Services expertise preferred, working with Equity and Fixed Income asset classes and a working knowledge of Indices.
• Expert in Python and Spark, with a deep focus on ETL data processing and data engineering practices.
• Experience of implementing data pipelines using tools like EMR, AWS Glue, AWS Lambda, AWS Step Functions, API Gateway, Athena
• Experience with data services in a Lakehouse architecture.

• Deep technical knowledge of data engineering solutions and practices. Implementation of data pipelines using AWS data services and Lakehouse capabilities.
• Highly proficient in Python, Spark and familiar with a variety of development technologies. This knowledge enables the Senior Data Engineer to adapt solutions to project-specific needs.

• Skilled in decomposing solutions into components (Epics, stories) to streamline development.
• Proficient in creating clear, comprehensive documentation. Ensures that documentation supports knowledge sharing and compliance, making it accessible and valuable for future reference
• Proficient in quality assurance practices, including code reviews, automated testing, and best practices for data validation.
• Experience in leveraging automation tools and Continuous Integration/Continuous Deployment (CI/CD) pipelines to streamline development, testing, and deployment.

Preferred, but not required:

• Experience in solution architecture and technical design, allowing for the creation of scalable, reliable data architectures that meet both technical and business requirements
• A master s degree or relevant certifications (e.g., AWS Certified Solutions Architect, Certified Data Analytics) is advantageous.

We offer:

• A highly competitive compensation and benefits package.
• A multinational organization with 58 offices in 21 countries and the possibility to work abroad.
• 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.

SYNECHRON 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.