AlphaMetricx | Data Engineer

1 month ago


bangalore, India AlphaMetricx Full time

Job Title: Data Engineer - ElasticSearch

We are looking for an experienced Data Engineer with a minimum of 5 years' expertise in ElasticSearch and Python. The ideal candidate should be proficient in large volumes of data, Pandas, NumPy, Dask, API development, basic MLOps, unstructured text data wrangling, exploratory analysis, insights, stakeholder communication, team leadership, and public dataset scouting. Additionally, the candidate should be well versed in MLops tools such as MLflow and Weights and Biases.

As a Data Engineer, you will use ElasticSearch analyzers to process and analyze large volumes of data efficiently. You will set up multiple data pipelines and EDAs through Amazon SageMaker, utilizing AWS components and deployments. You will collaborate with data scientists to solve complex business problems and bring data literacy across the organization.

The successful candidate will have a deep understanding of the best practices and methodologies involved in developing scalable, reliable, and efficient data solutions. You will have experience with basic MLOps tools and can design streamlined data pipes to support Machine Learning workflows. You will have excellent problem-solving skills and can design and implement creative solutions to data engineering challenges. You will be highly communicative and can articulate complex technical concepts to both technical and non-technical stakeholders.

Key Requirements:

  • Minimum of 5 years of experience in ElasticSearch and Python.
  • Proficient in large volumes of data, Pandas, NumPy, Dask, API development, basic MLOps, unstructured text data wrangling, exploratory analysis, insights, stakeholder communication, team leadership, and public dataset scouting.
  • Well-versed in MLops tools such as MLflow and Weights and Biases.
  • Experience with AWS components and deployments.
  • Excellent problem-solving skills and ability to design and implement creative solutions to data engineering challenges.
  • Highly communicative and able to articulate complex technical concepts to both technical and non-technical stakeholders.



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