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Engaged Employer

YASH Technologies

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3.8

based on 1.7k Reviews

Video summary

428 YASH Technologies Jobs

Sr. Software Engineer - AWS Data Engineer Job

Yash Technologies Pvt ltd

3.8

based on 1.7k Reviews

3-5 years

Pune

1 vacancy

Sr. Software Engineer - AWS Data Engineer Job

YASH Technologies

posted 4mon ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analytics Python AWS Cloud Computing Analytical Chemistry Service Engineering

+ 2 more

Job Description

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

At YASH, we re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth - bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

We are looking forward to hire AWS Data Pipeline Professionals in the following areas :

Experience

3-5 Years

Job Description

Design, develop, and implement cloud solutions on AWS, utilizing a wide range of AWS services, including Glue ETL, Glue Data Catalog, Athena, Redshift, RDS, DynamoDB, Step Function, Event Bridge, Lambda, API Gateway, ECS, and ECR.
Demonstrate expertise in implementing AWS core services, such as EC2, RDS, VPC, ELB, EBS, Route 53, ELB, S3, Dynamo DB, and CloudWatch.
Leverage strong Python and PySpark data engineering capabilities to analyze business requirements, translate them into technical solutions, and successful execution.
expertise in AWS Data and Analytics Stack, including Glue ETL, Glue Data Catalog, Athena, Redshift, RDS, DynamoDB, Step Function, Event Bridge, Lambda, API Gateway, ECS, and ECR for containerization.
In-depth knowledge of AWS core services, such as EC2, RDS, VPC, ELB, EBS, Route 53, ELB, S3, Dynamo DB, and CloudWatch.
Develop HLDs, LLDs, test plans, and execution plans for cloud solution implementations, including Work Breakdown Structures (WBS).
Interact with customers to understand cloud service requirements, transform requirements into workable solutions, and build and test those solutions.
Manage multiple cloud solution projects, demonstrating technical ownership and accountability.
Capture and share best-practice knowledge within the AWS solutions architect community.
Serve as a technical liaison between customers, service engineering teams, and support.
Possess a strong understanding of cloud and infrastructure components, including servers, storage, networks, data, and applications, to deliver end-to-end cloud infrastructure architectures and designs.
Effectively collaborate with team members from around the globe
Excellent analytical and problem-solving skills.
Strong communication and presentation skills.
Ability to work independently and as part of a team.
Experience working with onshore - offshore teams.

Required Behavioral Competencies

Accountability : Takes responsibility for and ensures accuracy of own work, as well as the work and deadlines of the team.

Collaboration: Participates in team activities and reaches out to others in team to achieve common goals.

Agility: Demonstrates a willingness to accept and embrace differing ideas or perceptions which are beneficial to the organization.

Customer Focus: Displays awareness of customers stated needs and gives priority to meeting and exceeding customer expectations at or above expected quality within stipulated time.

Communication: Targets communications for the appropriate audience, clearly articulating and presenting his/her position or decision.

Drives Results: Sets realistic stretch goals for self & others to achieve and exceed defined goals/targets

Certifications

Good To Have

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

Our Hyperlearning workplace is grounded upon four principles