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Cloud Platform Engineer

Salary undisclosed

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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

The individual will be responsible for designing and engineering Cloud Data platforms . The individual will require to ensure high level of customer satisfaction for all Business users of the Data Lake platform. The role designs Data Platform systems that are appropriate for applications, customer needs and consistent with the overall design of the organization's information systems architecture. Under limited supervision, this job is responsible for the solution engineering and design, provisioning, delivery, service management, continuous automations of the organization's Data Platform systems. This role is hybrid.

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 Charlotte, NC is $100k - $115k/year & benefits (see below).

The Role

Responsibilities :
  • Develop and deliver data platform and data engineering solutions to ingest and provision develop automation pipelines to ingest or provision data to or from Cloud platforms.
  • Design, develop and deliver cloud Data Platform solutions and develop/manage automation pipelines to handle Data Platform needs. Practice Infrastructure as code (IaC) to develop automation routines and integration flows to manage state of the Data Lake platform systems
  • Platform Engineering:
    • Facilitate setup of Data Lake platform and enable the platform with required security controls including encryption, masking, certificate/keys rotation etc.
    • Collaborates with developers, analysts, various system administrators to identify system requirements in designing efficient Data Platform solutions and interfaces.
    • Identifies and documents all system constraints, implications, and consequences of various proposed system changes.
    • Reviews technical documentation to guide platform users and to assist with the ongoing operation, maintenance, and development of the system. Evaluates the efficiency and effectiveness of Platform operations and troubleshooting problems.
    • Deploy, automate, maintain, and manage AWS cloud-based systems across SDLC environments, to ensure the availability, performance, scalability, and security of the Data Lake Platform.
    • Manage the governance framework for DB-Services specific to private, hybrid and public cloud platform adhering to standards and integration with existing tools.
  • Data Engineering:
    • Provide expert level IT technical lead services, including the direction, evaluation, selection, configuration, implementation, and integration of new and existing technologies and tools in a cloud platform.
    • Responsible for development of cloud integrations and data migrations to support operations of Cloud infrastructure, provisioning, monitoring with IaaS and PaaS models
    • Partner with Developers, various system administrators to ensure effective implementation of the data pipelines according to the business needs
    • Collaborates with Business Analysts and Product Managers to identify business requirements in designing efficient data pipelines and interfaces.
    • Implement version management and deployment of data pipelines using Nuveen approved CI/CD methodologies.
  • Participate in all recurring operations meetings to ensure platform related program governance activities are managed effectively.
  • Self-sufficiently lead the team members in ensuring the platform related engineering activities are handled effectively.
  • Align and collaborate with other team lead to ensure activities are handled across different time zones.
  • Perform Platform and Data Engineering L3 support
Requirements:

You are:
  • Master's or Bachelor's degree in computer science or related discipline
  • Manage and ensure delivery of project tasks as required
  • Excellent documentation skills to create and manage design, implementation and automation related documentation
  • Platform engineering and Implementation experience for large scale data solutions with Orchestration, Computation and storage layers leveraging Hadoop distribution platforms like Cloudera or AWS EMR, Airflow, S3 etc.
  • Extensive experience in designing, engineering and managing data lake ingestion, validation, transformation and consumption services leveraging cloud data tools like Spark, EMR, Glue ETL and Catalog, Snowflake, AWS Services etc.
  • Experience on implementing solutions with Workflow orchestration/scheduling tools such as Airflow, Autosys etc.
  • Experience building and using CI/CD pipelines for infrastructure implementations with Terraform, Gitlab etc.
  • Must have ability to multi-task and prioritize tasks for self
  • Must have experience working in agile environment with multiple priorities
  • Self-reliant and Collaborative in handling activities necessary for Platform Engineering Stream
It would be great if you also had:
  • 8+ years of implementing data applications or data platforms with Big Data/Hadoop, Python/Java/Spark full stack, etc.
  • 8+ years of experience with ETL/ELT tools such as AWS Glue ETL etc.
  • 5+ year support experience of Big Data technologies in Hadoop ecosystem -, MapReduce, Spark, Yarn, Kafka, Pig, HBase, Sqoop, Elastic Search, Kerberos
  • 5+ year experience with Orchestration tools such as Airflow, Autosys etc.
  • Experience with Jira and Agile methodology is a plus.
  • Experience with understanding DevOps or CI/CD process w.r.t to infrastructure management activities
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 .

Candidate Application Notice
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