Chief Data Architect

5 days ago

Gandhinagar, Gujarat, India beBeeDataEngineer Full time ₹ 1,00,00,000 - ₹ 1,50,00,000
Data Engineer Job Description

About Us:

We are a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with expertise in digital engineering and IT services helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation.

Our partners with major firms in banking, healthcare, telecom, and media. We combine deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation.

The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America.

Key Responsibilities:
  • Analyze and organize raw data to derive meaningful insights.
  • Interpret trends and patterns to inform business decisions.
  • Conduct complex data analysis and report on results to stakeholders.
  • Prepare data for prescriptive and predictive modeling to drive business growth.
  • Combine raw information from different sources to create a unified view of the data.
  • Enhance data quality and reliability to improve decision making.
  • Identify opportunities for data acquisition to support business needs.
  • Develop analytical tools and programs to streamline data analysis.
  • Develops and maintains scalable data pipelines and builds out new API integrations.
  • Collaborates with analytics and business teams to improve data models that feed business intelligence tools.
  • Implements processes and systems to monitor data quality.
  • Writes unit/integration tests and documents work.
  • Performs data analysis required to troubleshoot data related issues.
  • Works closely with a team of frontend and backend engineers, product managers, and analysts.
Requirements, Skills and Qualifications:
  • Previous experience as a data engineer or in a similar role.
  • Technical expertise with data models, data mining, and segmentation techniques.
  • Knowledge of programming languages (e.g., Java and Python).
  • Hands-on experience with SQL database design.
  • Great numerical and analytical skills.

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