Senior Technology Professional

5 days ago

Gurgaon, Haryana, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Job Title:

Data Engineer

About This Role

The ideal candidate is a hands-on technology professional with experience in developing scalable applications and platforms. They must be at ease working in an agile environment with little supervision.

A key requirement for this role is a self-motivated person with a passion for problem-solving and continuous learning.

Key Responsibilities

  • Project Management: Oversee projects from start to finish, ensuring timely delivery and high-quality results.
  • Front Door: Collect requirements, metadata, classify and perform security clearance tasks.
  • Data pipeline template development.
  • Data pipeline Monitoring development & support (operations).
  • Design, develop, deploy, and maintain production-grade scalable data transformation, machine learning and deep learning code, pipelines; manage data and model versioning, training, tuning, serving, experiment and evaluation tracking dashboards.
  • Manage ETL and machine learning model lifecycle: develop, deploy, monitor, maintain, and update data and models in production.
  • Build and maintain tools and infrastructure for data processing for AI/ML development initiatives.
Required Skills and Qualifications

Technical Skills Requirements:

  • Experience deploying machine learning models into a production environment.
  • Strong DevOps, Data Engineering and ML background with Cloud platforms.
  • Experience in containerization and orchestration (such as Docker, Kubernetes).
  • Experience with ML training/retraining, Model Registry, ML model performance measurement using ML Ops open-source frameworks.
  • Experience building/operating systems for data extraction, ingestion and processing of large data sets.
  • Experience with MLOps tools such as MLFlow and Kubeflow.
  • Experience in Python scripting.
  • Experience with CI/CD.
  • Fluency in Python data tools e.g. Pandas, Dask, or Pyspark.
  • Experience working on a large scale, distributed systems.
  • Python/Scala for data pipelines.
  • Scala/Java/Python for micro-services and APIs.
  • HDP, Oracle skills & SQL; Spark, Scala, Hive and Oozie DataOps (DevOps, CDC).

Nice-to-have Skills:

  • Jenkins, K8S.
  • Google Cloud certification.
  • Unix or Shell scripting.
Benefits

This role offers opportunities for growth and development in a collaborative and innovative environment.

We are committed to providing our team members with the resources and support needed to succeed.

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