Job description
Position Title- AWS Data Engineer
Location- Canada-Remote
Job Summary
We are seeking a highly skilled and experienced Data engineering with AWS skills
Years of experience needed –
– Minimum 10 yrs of experience in Data engineering with AWS skills
Technical Skills:
- AWS- AWS ( S3, Lambda, Glue, Step function, Redshift, dynamo DB, Quick sight,)/Python
- CI/CD Pipeline Development:
- Design, implement, and optimize CI/CD pipelines using Jenkins, CircleCI, Or GitLab to support rapid software development and deployment.
- Manage and troubleshoot build processes, ensuring high availability and performance.
- AWS Services Management:
- Architect, deploy, and manage data warehousing solutions using AWS Redshift, ensuring data integrity and security.
- Utilize AWS Glue for ETL processes, ensuring seamless data integration and transformation across various sources.
- Automation and Scripting:
- Develop and maintain automation scripts using Python, Bash, or similar languages to streamline processes and reduce manual efforts.
- Implement monitoring and ing solutions to proactively identify and resolve issues.
- Collaboration and Support:
- Partner with software development teams to understand application requirements and translate them into scalable and maintainable CI/CD solutions.
- Provide technical support and guidance to team members and stakeholders regarding best practices in DevOps and data management.
- Documentation and Process Improvement:
- Maintain comprehensive documentation of system configurations, deployment processes, and operational procedures using Confluence.
- Conduct regular reviews of existing processes to identify areas for improvement and implement solutions.
- Security and Compliance:
- Ensure that CI/CD processes and AWS resources adhere to security best practices and compliance requirements.
- Regularly audit and refine security policies related to data access and infrastructure management.
- Experience with containerization technologies (e.g., Docker, Kubernetes) and orchestration tools.
- Familiarity with other AWS services (e.g., S3, Lambda, EC2) and their integration with data workflows.
- Knowledge of infrastructure as code (IaC) tools such as Terraform or CloudFormation.
- Understanding of Agile methodologies and experience working in Agile environments.
- Familiarity with Confluence for documentation and team collaboration.
Secondary skill
- Experience in Amazon S3, AWS Redshift & Amazon Glue
- Experience with Cloud and Microservices based Architecture (SOA), enterprise data management, information security, applications development, and cloud-based architectures with federal clients.
- Experience working as a member of distributed data architecture teams
- Experienced in Determining database structural requirements by analyzing client operations, applications, and programming; reviewing objectives with clients; evaluating current systems
- Experience in Developing database solutions by designing proposed system, defining database physical structure and functional capabilities, security, back-up, and recovery specifications
- Installs database systems by developing flowcharts; applying optimum access techniques; coordinating installation actions; documents actions.
- Experience in maintaining database performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases; completing maintenance; answering user questions.
- Experience in Coding utilities, database support, responding to user questions, and resolving problems.
- Accomplishes information systems and organization mission by completing related results as needed
- Supervising and guiding the entire Data architectural implements
- Strong Data modeling skills to Design conceptual and logical data models and flowcharts
- Experience in Erwin or equivalent Data modeling tool
- Strong with Governance, Architecture processes, best practices and structure
- Strong in analytical skill and define architecture best suited for the organization (using companies approved stack and tools)
- Understanding of information systems and data life-cycle management best practices and methodologies, formal systems engineering life cycle (SELC), and systems development life cycle (SDLC)
- Strong with Project Management and project planning kills.
- Good knowledge of SDLC for projects using DW concepts and Client/Server technologies.
- Well versed with Backup Procedure, Data security and GDPR
- Well-developed analytical & problem-solving skills
- Strong oral and written communication skills
- Excellent team player, able to work with virtual teams
- Ability to learn quickly in a dynamic start-up environment
- Excellent leadership skills with ability lead and guide and groom the team
- Self-motivated and capable of working independently with minimal management supervision
- Able to talk to client directly and report to client/onsite
- Flexibility to work on different Shifts and Stretch
About Mphasis
Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis’ Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.
Equal Opportunity Employer:
Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry, age, color, religious creed, marital status, genetic information, sexual orientation, gender identity, gender expression, sex (including pregnancy, breast feeding and related medical conditions), mental or physical disability, medical conditions military and veteran status or any other status or condition protected by applicable federal, state, or local laws, governmental regulations and executive orders. View the EEO in the law poster , view the EEO in the law supplement . To view the pay transparency nondiscrimination provision please click and to view the E-Verify posting click .
Mphasis is committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of disability to search and apply for a career opportunity, please send an email to accomodationrequest@mphasis.com and let us know your contact information and th e nature of your request.
Skills
PRIMARY COMPETENCY : Data Engineering PRIMARY SKILL : Data Modeler / Architect PRIMARY SKILL PERCENTAGE : 60 SECONDARY COMPETENCY : Data Engineering SECONDARY SKILL : Redshift SECONDARY SKILL PERCENTAGE : 20 TERTIARY COMPETENCY : Analytics TERTIARY SKILL : Tableau TERTIARY SKILL PERCENTAGE : 20
Other details
Deputation Location : CA~Ontario~Mississauga