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Indore · On-site · 6-9 Yrs · Oct 13
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
RWS Technology Services is part of the RWS Group, a unique, world-leading provider of technology-enabled language, content, and intellectual property services.
Responsibilities
- Data modelling & stores: Designing data schemas, tables and partitioning strategies across SQL and NoSQL databases such as Cosmos DB and Redis
- Performance & cost optimization: Spark tuning, shuffle optimization, caching, cluster sizing, query optimization, debugging long-running jobs and cloud cost control
- Data quality & lineage: Defining data quality rules and data lineage definitions, and creating monitoring alerts out of them
- Testing for data pipelines: Data validation, regression tests, reconciliation and end-to-end pipeline testing
- ML engineering: Feature store, feature and training pipelines, model deployment and serving, model monitoring with drift detection and retraining (MLflow / MLOps)
Qualifications
- Core experience: Minimum 6-8 years of hands-on experience in data processing pipeline and API development, with strong proficiency in Python (PySpark) and Scala a must, GCP is must.
- Big data & distributed systems: Apache Spark, Databricks, Blob Storage, BigQuery and managed Spark (Dataproc) on GCP; processing structured, semi-structured and multi-modal data (text, image, audio, video)
- Lakehouse & table formats: Delta Lake, Apache Iceberg and Apache Hudi
- Pipelines & orchestration: Building batch and streaming ETL/ELT processes over pub/sub platforms (Kafka, Azure Event Hubs, Google Cloud Pub/Sub), orchestrated with Airflow on Kubernetes, in containerized, scalable and serverless architectures
- Infrastructure as Code: Terraform or equivalent
- Observability & reliability: Centralized logging, metrics, tracing, job monitoring, SLAs/SLOs and incident troubleshooting
- AI-assisted development: Hands-on experience using tools such as GitHub Copilot, Claude Code or equivalent for code generation, debugging, testing and developer productivity
- Nice to have: Past exposure to web analytics solutions (Adobe Analytics & Google Analytics)
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Job application FAQ
Last updated 24 October 2026
- How do I apply for Data Solutions Engineer at RWS?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. RWS may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Solutions Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Solutions Engineer remote or on-site in Indore, Madhya Pradesh?
- This listing is marked on_site with location Indore, Madhya Pradesh. Confirm details on the job description before applying.
- What skills matter for this Data Solutions Engineer role at RWS?
- This is a mid-level Data Solutions Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.