Data Architect

4 weeks ago

Noida, Uttar Pradesh, India Clearwater Analytics Full time

About Clearwater Analytics:

Clearwater Analytics is a leading provider of cloud-based investment management solutions. Our cutting-edge technology automates the entire investment lifecycle, from portfolio planning to performance reporting, data aggregation, and reconciliation.

Our mission is to empower financial institutions to make data-driven decisions with confidence. We achieve this by delivering a comprehensive technology platform that simplifies the investment lifecycle and provides unparalleled insights.

Job Summary:

A Data Engineer at Clearwater Analytics designs, develops, and maintains data systems and architectures to collect, store, process, and analyze large volumes of data. They build data pipelines, optimize data models, and ensure data quality and security.

Key Responsibilities:

  • Design and deploy technology architecture, solutions, and software to capture, manage, store, and utilize structured and unstructured data from internal and external sources.
  • Establish and build processes and structures based on business and technical requirements to channel data from multiple inputs, route appropriately, and store using distributed structures, local databases, and other applicable storage forms.
  • Develop technical tools and programming that leverage artificial intelligence, machine learning, and big-data techniques to cleanse, organize, and transform data and maintain data structures and integrity on an automated basis.
  • Create and establish design standards and assurance processes for software, systems, and applications development to ensure compatibility and operability of data connections, flows, and storage requirements.
  • Review internal and external business and product requirements for data operations and activity and suggest changes and upgrades to systems and storage to accommodate ongoing needs.
  • Coordinate with data providers around planned changes to raw data feeds.
  • Profile and optimize data pipelines.

Required Skills:

  • Strong programming skills in Python, Java, or Scala.
  • Experience with big data technologies like Hadoop, Spark, or Kafka.
  • Proficiency in SQL and database technologies.
  • Familiarity with ETL processes and tools (e.g., Airflow).
  • Experience with cloud platforms (AWS, Azure, GCP).
  • Familiarity with data visualization tools (Tableau, Power BI).
  • Strong computer skills, including proficiency in Microsoft Office.
  • Excellent attention to detail and strong documentation skills.
  • Outstanding verbal and written communication skills.
  • Strong organizational and interpersonal skills.
  • Exceptional problem-solving abilities.

Education & Experience:

  • Bachelor's degree in Technical Background or a related field is required.
  • 4-10 Years of experience.

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