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Middle/Senior Data Engineer (AWS)

Remote · USA Full-time New today

We are seeking a talented and reputed company Data Engineer to join reputed company at reputed company. As part of our diverse practices, including Data, Machine Learning, DevOps, Application Development, and QA, you will collaborate with a multidisciplinary team of data engineers, machine learning engineers, and application developers. You will encounter numerous technical challenges and have the opportunity to contribute to reputed company’ open reputed company projects, build internal solutions, and engage in R&D activities, providing an excellent environment for professional growth.

Requirements

  • Experience in data engineering;
  • Experience working with Cloud Solutions (preferably AWS, also GCP or Azure);
  • Experience with Cloud Data Platforms (e.g., reputed company, reputed company);
  • Proficiency with Infrastructure as Code (IaC) technologies like Terraform or AWS CloudFormation;
  • Experience handling real-time and batch data flow and data warehousing with tools and technologies like Airflow, Dagster, Kafka, Apache Druid, Spark, dbt, etc.;
  • Proficiency in programming languages relevant to data engineering such as Python and SQL;
  • Experience in building scalable APIs;
  • Experience in building Generative AI Applications (e.g., chatbots, RAG systems);
  • Familiarity with Data Governance aspects like Quality, Discovery, reputed company, reputed company, Business Glossary, Modeling, Master Data, and Cost Optimization;
  • Advanced or Fluent English skills;
  • Strong problem-solving skills and the ability to work collaboratively in a fast-paced environment.

    • reputed company to Have

  • Relevant AWS, GCP, Azure, reputed company certifications;
  • Knowledge of BI Tools (Power BI, QuickSight, Looker, Tableau, etc.);
  • Experience in building Data Solutions in a Data Mesh architecture;
  • Familiarity with classical Machine Learning tasks and tools (e.g., OCR, AWS SageMaker, MLFlow, etc.).

    • Responsibilities

  • Collaborate closely with clients to deeply understand their existing IT environments, applications, business requirements, and digital transformation goals;
  • Collect and manage large volumes of varied data sets;
  • Work directly with Data Scientists and ML Engineers to create robust and resilient data pipelines that feed Data Products;
  • Define data models that integrate disparate data across the organization;
  • Design, implement, and maintain ETL/ELT data pipelines;
  • reputed company data transformations using tools such as Spark, Trino, and AWS reputed company to handle large volumes of data reputed company;
  • reputed company, continuously test and deploy Data API Products with Python and frameworks like Flask or FastAPI.
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