Data Engineer-

4 weeks ago


Vadodara, India MyRemoteTeam Inc Full time

About UsMyRemoteTeam, Inc is a fast-growing distributed workforce enabler, helping companies scale with top global talent. We empower businesses by providing world-class software engineers, operations support, and infrastructure to help them grow faster and better.Position: Python Coder – Data Processing Client: Wipro (Google Project) Location: Remote – India Commitment: 40 hrs/week | Contract: 3–6 Months Experience: 8+ YearsJob DescriptionWe are looking for an experienced Python professional with strong expertise in large-scale data processing. This role involves building and maintaining automated data pipelines that process massive text datasets used for AI and LLM training. The ideal candidate will have deep hands-on experience in Python, strong data engineering skills, and the ability to work closely with ML and AI teams.Key ResponsibilitiesDesign and develop scalable ETL/ELT pipelines using Python.Ingest, process, clean, deduplicate, and normalize large text datasets.Work with diverse data formats such as JSON, CSV, XML, and Parquet.Ensure high data quality and establish quality-check standards.Optimize pipelines for speed, cost efficiency, and reliability.Collaborate with AI/ML teams on data requirements and training workflows.Support model training by investigating data-related issues when required.Required Skills8+ years in data engineering, backend engineering, or data processing roles.Strong expertise in Python and libraries like Pandas, NumPy, Dask, Polars.Experience building large-scale data pipelines.Strong understanding of data structures, data modeling, and best coding practices.Hands-on experience with JSON/CSV/XML/Parquet formats.Excellent debugging and problem-solving skills.Good to HaveExperience in LLM/AI data preprocessing (LLaMA, GPT, BERT, etc.).Knowledge of big data frameworks (Spark, Ray).Experience with Hugging Face libraries (Transformers, Datasets, Tokenizers).Familiarity with PyTorch or TensorFlow.Experience working on cloud platforms (AWS, GCP, Azure).


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