Data Engineer - AWS Job
At a glance
Mid-level Data Engineering role at Yash Technologies. Bangalore.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build, test and support data pipelines and applications, then prepare data feeds for ongoing production use
- Connect new pipelines to existing systems and work with AWS cloud environments
- Protect sensitive pipeline data through encryption, access restrictions and audit controls
- Improve data cleansing and links between internal and external sources, while steadily raising data quality
- Turn data users’ needs into ingestion work and optimize the resulting data quality
What you bring
- At least three years of relevant industry experience and a degree in computer science, engineering or a related field
- You bring practical experience with AWS, Python and PySpark
- You have an interest in solving technically challenging problems
Who this fits
This mid-level role suits someone focused on hands-on data engineering, especially building and supporting AWS pipelines. The position is described as right to hire.
From the employer
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:
Data Engineering (DataEng)
This Position will be Right to Hire!
- Experience 3 to 6 years
- Degree in computer science, engineering, or similar fields
- Skill Set: AWS, Python, PySpark
Primary Responsibilities
- Responsible for designing, developing, testing and supporting data pipelines and applications
- Industrialize data feeds
- Experience in working with cloud environments AWS
- Creates data pipelines into existing systems
- Experience with enforcing security controls and best practices to protect sensitive data within AWS data pipelines, including encryption, access controls, and auditing mechanisms.
- Improves data cleansing and facilitates connectivity of data and applied technologies between both external and internal data sources.
- Establishes a continuous quality improvement process and to systematically optimizes data quality
- Translates data requirements from data users to ingestion activities
- B.Tech/ B.Sc./M.Sc. in Computer Science or related field and 3+ years of relevant industry experience
- Interest in solving challenging technical problems
- Nice to have test driven development and CI/CD workflows
- Knowledge of version control software such as Git and experience in working with major hosting services (e. g. Azure DevOps, Github, Bitbucket, Gitlab)
- Nice to have in working with cloud environments such as AWSe especially creating serverless architectures and using infrastructure as code facilities such as CloudFormation/CDK, Terraform, ARM.
- Hands-on experience in working with various frontend and backend languages (e.g., Python, R, Java, Scala, C/C++, Rust, Typescript, ...)
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
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering
Find me workBy the team behind dataroles.