Data Engineer Female Graduate Jobs in Jaipur

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Data/ML Platform Engineer

Onactive

Python SQL ML Docker AWS Cloud Engineer
Level of skills and experience:5 years of hands-on experience in using Python, Spark,Sql.Experienced in AWS Cloud usage and management.Experience with Databricks (Lakehouse, ML, Unity Catalog, MLflow).Experience using various ML models and frameworks such as XGBoost, Lightgbm, Torch.Experience with orchestrators such as Airflow and Kubeflow.Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).Fundamental understanding of Parquet, Delta Lake and other data file formats.Proficiency on an IaC tool such as Terraform, CDK or Cloud Formation.Strong written and verbal English communication skill and proficient in communication with non-technical stakeholderst
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Urgent Requirement For Python Data Engineer

Career Crops

Python Developer Data Analyst Data Scientist Coding Analyst
Write effective python code to tackle complex issues, but also use your business sense and analytical abilities to glean valuable insights from public database.Clearly express reasoning and logic when Writing code in Jupiter notebooks or other suitable mediums Fix bugs in the code and create through documentation Utilize extensive data analysis skills to develop and respond to important business queries using available datasetsEffectively communicate with researchers to comprehend the needs and provide the results
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DATA ENGINEERS

Disha Consultant

  • 3 - 5 yrs
  • Jaipur
Data Engineer Python Data Warehousign Business Intelligence SQL Hadoop Spark Flink Bean Jaipur DATA ENGINEER SAS-Statistical Analysis System ETL Azure JSON XML Scala Github DevOps Data Miration Walk in
Data Engineer - Skills3+ years of relevant experience in the data engineering role, including data warehousing andbusiness intelligence tools, techniques and technology, or experience in analytics, business analysisor comparable consumer analytics solutionsStatistics experience preferredExperience in big data processing and using databases in a business environment with large-scale,complex datasets. (SQL, Hadoop, Spark, Flink, Beam etc)Knowledge and direct experience using business intelligence reporting tools. (Quicksight, Tableau,Splunk etc.)Extensive knowledge of SQL query design and tuning for performance and accuracyExperience with Python, R, or other data relevant scripting languages preferredExperience with Data Lake design and philosophyExperience in an Agile/Sprint working environment preferredProficient research skills to locate market information using numerous internal and external sourcesof data
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