Senior Data Engineer
Synechron
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Job summary
Qualifications
- At least 3 years of experience working with AWS data services and infrastructure.
- Proficiency in scripting languages such as Python, Shell, or similar.
- Strong knowledge of SQL and experience in optimizing complex queries.
Responsibilities
- Design, implement, and manage data solutions using AWS data services.
- Ensure architecture meets business requirements for scalability.
- Automate deployment using AWS CloudFormation or Terraform.
Skills
Education
Tools
Job description
Sr AWS Data Engineer
7+ Years
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 13,950+, and has 52 offices in 20 countries within key global markets. For more information on the company, please visit our website or LinkedIn community.
Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and 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.
Platform Engineer with expertise in the AWS data stack to join our dynamic team. The ideal candidate will be responsible for designing, building, and maintaining scalable and robust data platforms that support our data‑driven initiatives. This role collaborates with data scientists, analysts, and other stakeholders to ensure our data infrastructure is optimized for performance and aligned with business goals.
- Design, implement, and manage data solutions using AWS data services such as Amazon Redshift, Amazon EMR, Amazon Kinesis, AWS Glue, AWS Lake Formation, and Amazon Athena.
- Ensure the architecture and design of the data platform meet business requirements for reliability, availability, and scalability.
- Automate infrastructure provisioning, deployment, and scaling using AWS CloudFormation, Terraform, or other infrastructure as code tools.
- Develop and implement data engineering best practices, including continuous integration and delivery (CI/CD) pipelines for data platforms.
- Monitor, troubleshoot, and optimize data platforms for performance issues.
- Collaborate with security teams to implement and maintain data governance, compliance, and security policies.
- Provide technical guidance and support to other team members and stakeholders regarding data platform capabilities and best practices.
- Stay current with new AWS services and other data technologies, evaluating their applicability to our goals and integrating them as appropriate.
- Participate in on‑call rotations for supporting critical data platform operations.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- At least 3 years of experience working with AWS data services and infrastructure.
- Proficiency in scripting languages such as Python, Shell, or similar for automation tasks.
- Experience with infrastructure as code (IaC) tools such as AWS CloudFormation or Terraform.
- Strong knowledge of SQL and experience in optimizing complex queries.
- Familiarity with data pipeline and workflow management tools.
- Understanding of the principles of data warehousing, ETL processes, and data modeling.
- Proficient in implementing security and compliance standards within AWS.
- Excellent problem‑solving skills and ability to work under pressure.
- AWS certifications related to data services or solutions architecture.
- Experience with DevOps practices and tools (e.g., Jenkins, Git).
- Knowledge of containerization and orchestration services (e.g., Docker, Kubernetes).
- Prior experience with big data technologies (e.g., Hadoop, Spark).
- Experience working in an Agile/Scrum development process
- Mid‑Senior level
- Full‑time
- Technology
- Information and Internet
- IT Services
- IT Consulting
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