Key Responsibilities:

• Data Solutions Design and Implementation:

  • 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.

• Infrastructure Automation:

  • Automate infrastructure provisioning, deployment, and scaling using AWS CloudFormation, Terraform, or other infrastructure as code (IaC) tools.
  • Develop and implement data engineering best practices, including continuous integration and delivery (CI/CD) pipelines for data platforms.

• Performance Optimization:

  • Monitor, troubleshoot, and optimize data platforms for performance issues.

• Security and Compliance:

  • Collaborate with security teams to implement and maintain data governance, compliance, and security policies.

• Technical Guidance and Support:

  • 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.

• On-call Support:

  • Participate in on-call rotations for supporting critical data platform operations.

Technical Skills:

Category-wise:

• Cloud Services:

  • Expertise in AWS data services (Amazon Redshift, Amazon EMR, Amazon Kinesis, AWS Glue, AWS Lake Formation, Amazon Athena)
  • Experience with infrastructure as code (IaC) tools (AWS CloudFormation, Terraform)

• Programming and Scripting:

  • Proficiency in scripting languages such as Python, Shell, or similar for automation tasks

• Data Management:

  • Strong knowledge of SQL and experience in optimizing complex queries
  • Understanding of data warehousing, ETL processes, and data modeling
  • Familiarity with data pipeline and workflow management tools

• DevOps and Security:

  • Experience with DevOps practices and tools (e.g., Jenkins, Git)
  • Proficient in implementing security and compliance standards within AWS

• Containerization and Big Data:

  • Knowledge of containerization and orchestration services (e.g., Docker, Kubernetes)
  • Prior experience with big data technologies (e.g., Hadoop, Spark)

Day-to-Day Activities:

• Designing and developing scalable data solutions on AWS
• Automating infrastructure provisioning and deployment processes
• Monitoring and optimizing data platform performance
• Implementing security and compliance measures
• Collaborating with cross-functional teams to provide technical support and guidance
• Staying updated with the latest AWS services and integrating them into existing solutions
• Participating in on-call rotations for critical data platform support

Qualifications:

• AWS certifications related to data services or solutions architecture
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Experience:

• At least 3 years of experience working with AWS data services and infrastructure
• Banking program experience (e.g., Data Mesh, Large Enterprise data platforms)

Soft Skills:

• Excellent problem-solving skills and ability to work under pressure
• Strong communication and collaboration skills
• Ability to work in an Agile/Scrum development process
• Adaptability and willingness to learn new technologies

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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