Data Engineer - IICS Job
At a glance
Mid-level Data Engineering role at Yash Technologies. Indore.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build end-to-end IICS pipelines that move data from sources such as S3, SFTP, MFT, SQL Server and Redshift
- Structure Redshift staging, transformation and target layers for scale, speed and cost efficiency
- Lead design reviews and prepare DFDs, STTMs and non-functional requirements documentation
- Plan SIT and UAT, assess test cases and coordinate defect fixes through resolution
- Guide developers and improve delivery through monitoring, audit logs, automation and data quality checks
What you bring
- You have two to four years in data engineering, including at least two years using IICS hands-on
- You bring advanced SQL and Redshift skills, including complex transformations, window functions and performance tuning
- You have deployed across AWS development, validation and production environments and built production pipelines with error handling and alerts
- You have led or mentored developers and can communicate with technical and non-technical stakeholders
Who this fits
This role suits a mid-level data engineer ready to lead technical delivery and mentor other developers. The posting gives an experience range of four to six years for the role, while its required-skills section asks for two to four years in data engineering. The position is located in Indore, India.
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 IICS Professionals in the following areas :
Job description:
Experience required: 4-6 years
We are looking for a Senior Data Engineering Developer with deep expertise in IICS and Amazon Redshift to lead the design and delivery of complex data pipelines, mentor junior team members, and drive technical standards across the engagement.
Key responsibilities:
- Architect and deliver end-to-end data pipelines using IICS across multiple source systems (S3, SFTP, MFT, SQL Server, Redshift). Design scalable Redshift schemas including staging, transformation, and target layers with attention to performance and cost optimization.
- Lead technical design reviews and produce artefacts such as DFDs, STTMs, and NFR documentation.
- Drive SIT and UAT - design test strategies, review test cases, and manage defect resolution.
- Provide technical oversight and mentoring to junior and mid-level developers.
- Collaborate with architects, functional leads, and client stakeholders on solution design and delivery approach.
- Identify and implement process improvements - automation of manual steps, pipeline monitoring, audit logging frameworks, and data quality checks.
Required skills:
- 2-4 years of experience in data engineering, with at least 2 years hands-on with IICS.
- Advanced SQL and Redshift expertise - complex transformations, window functions, performance tuning, and warehouse management.
- Experience with multi-environment deployments (dev, val, prod) on AWS.
- Proven ability to design and deliver production-grade pipelines with audit logging, error handling, and alerting.
- Strong understanding of data quality frameworks and validation strategies.
- Prior experience leading or mentoring a development team.
- Excellent communication skills with the ability to engage both technical and non-technical stakeholders.
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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