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 Professionals in the following areas :

Job Description

Experience required: 3-5 years.

  • (Master’s or Ph.D. degree) or equivalent professional experience in either software engineering, data engineering, data science, computer science or a related field.
  • 3+ years of hands-on data engineering professional experience
  • Technical proficiency with our cloud stack: AWS, GitLab CI/CD, Databricks, Python, SQL, PySpark, and DBT for developing and orchestrating ETL jobs, AWS CDK and Terraform for IaC.
  • Hands-on experience with the following AWS Components : Batch, Lambda, Glue, Athena, SageMaker, CloudWatch, CDK, ECS, QuickSight, DynamoDB, RDS for PostgreSQL, IAM, VPC, S3
  • Previous hands-on professional experience in developing and maintaining data pipelines on AWS and Databricks. Relevant AWS and Databricks certifications preferred.
  • Ability to write maintainable code, technical documentation and visualize your technical design. Coding proficiency with Python and SQL (experience with Scala is considered a plus) with proven
  • hands-on experience in industry standard software development life cycle methods, experience with software testing practices and DevOps practices spanning the full solution lifecycle.
  • Maintaining good unit test coverage, and additionally developing integration and regression tests using the Robot Framework.
  • Good understanding of cybersecurity guidelines, data privacy and compliancy regulations.
  • Practical experience in working with IoT telemetry data, enterprise data landscapes and data structures: Structural data, non-structural data, metadata, master data, transactional data, batch/NRT.
  • Acting as the go-to person in the methodological and technical aspects of data engineering, promoting innovation in data engineering, critically evaluate new data engineering methods and applying them to practice.
  • Identifying, designing, and implementing data engineering process improvements, e.g. automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
  • Ensuring pipelines are implemented with industry best practices and aligned with technical design principles and architecture, ensuring that all Data Engineers follow agreed development process and agreed CI/CD principles, as well as planning and conducting quality actions such as code reviews, supporting and coaching sessions.
  • Demonstrating in-depth process and data knowledge for the business domain(s) you are working with.
  • Taking additional responsibilities such as the role of leading task forces and defect triages.

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

  • Flexible work arrangements, Free spirit, and emotional positivity
  • Agile self-determination, trust, transparency, and open collaboration
  • All Support needed for the realization of business goals,
  • Stable employment with a great atmosphere and ethical corporate culture

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