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Informatica Data Quality (IDQ), Engineer
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About the Unit:
TCS Data & Analytics is powering the AI revolution by transforming data into a strategic enterprise asset. Built on the philosophy of Smart Data for Smarter AI, it enables organizations to create intelligent, AI-ready ecosystems that accelerate innovation, unlock new value, and drive business transformation at scale. As AI reshapes industries, TCS is helping businesses turn data into their most powerful competitive advantage.
Job Title: Informatica Data Quality (IDQ), Engineer
Work Location: Bangalore
Experience: 10-20 years
Desired Competencies (Technical/Behavioral Competency)
Must-Have**
Hands-on experience of developing IDQ mappings, mapplets, sessions & workflows · Data Cleansing project experience including strong data analysis skills · Design and implement end-to-end Data Quality strategy · Good hands-experience in Informatica · Ability to handle large volume of data including multiple databases like Oracle, Teradata, HIVE
Good-to-Have
Hand on experience of 1 or more scheduling tools like Control-M, Tivoli, etc. · Good understanding of Data Warehousing concepts – SCD types, Facts and dimensions, Star/Snowflake schemas. · The candidate should have good DevOps and Agile Development Framework knowledge.
Job ID: 153765449
Skills:
Change Management, Oracle, Costing, Quality Plans, Equipment Calibration, Sop, Process Design, Device History Records, Cycle Time Reduction, Process Maps, Pfmea
Skills:
Elk, Prometheus, Grafana, Datadog, Shell, Terraform, Docker, Python, AWS, Azure DevOps, Cloudformation, PowerShell, Bash, Jenkins, Gcp, Cloudwatch, Dynatrace, Azure, Kubernetes, SLIs, Go, GitHub Actions, OpenTelemetry, error budgets, GKE, AKS, EKS, Google Cloud Monitoring, GitLab CI, SLOs, Azure Monitor
Skills:
Gpu, Tensorflow, Pytorch, Python, Dsp, Shell Scripting, Automation Framework Development, Keras, AI Software Validation, TensorRT, TVM, Glow, XLA, ONNX, Deployment workflows, NPU, OpenVINO, ML Compiler Validation, Heterogeneous Compute Platforms, MLIR, Graph optimizations, ML Compiler architectures, Performance Validation, SDK Validation, AI Accelerators, CI CD validation environments, Inference engines
Skills:
triton , telemetry , Silicon Validation, Cmake, Debugging, Cuda, Performance Engineering, Pytorch, Firmware Development, Profiling, Reliability Testing, AI models, Memory hierarchies, Platform diagnostics, Data pipelines, Performance Analysis
Skills:
Java, Devops, Build Tools, Maven, Teamcity, Bash, Python, Pipelines, Linux System Engineering, make
