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Lead Data Engineer @ Blend360 India

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 Lead Data Engineer

Job Description

You will be a part of our Data Engineering team and will be focused on delivering exceptional results for our clients. A large portion of your time will be in the weeds working alongside your team architecture, designing, implementing, and optimizing data solutions. You ll work with the team to deliver, migrate and/or scale cloud data solutions; build pipelines and scalable analytic tools using leading technologies including AWS, Azure, GCP, Spark, Hadoop, etc.
What you ll be doing?
  • Develop data pipelines to move and transform data from various sources to data warehouses
  • Ensure the quality, reliability, and scalability of the organizations data infrastructure
  • Optimize data processing and storage for performance and cost-effectiveness
  • Collaborate with data scientists, analysts, and other stakeholders to understand their requirements and develop solutions to meet their needs
  • Continuously monitor and troubleshoot data pipelines to ensure their reliability and availability
  • Stay up to date with the latest trends and technologies in data engineering and apply them to improve our data capabilities
  • Bachelor s degree in computer science, Software Engineering, or a related field
  • 6+ years of experience in data engineering or a related field
  • Strong programming skills in Python or Scala or Java
  • Expert SQL skills

Job Classification

Industry: Industrial Automation
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time

Contact Details:

Company: Blend360 India
Location(s): Hyderabad

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Keyskills:   Computer science GCP SCALA Cloud Hadoop Data processing big data AWS SQL Python

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Blend360 India

BLEND360 is an award-winning, new breed Data Science Solutions Company focused on powering exceptional results to our Fortune 500/1000 clients and other organizations. We are a hyper growth company - born at the intersection of advanced analytics, data and technology. ...