Senior Data Solutions Engineer

1 day ago

Hyderabad Secunderabad Telangana, India beBeeDataSolutions Full time
Job Title:

Senior Data Solutions Engineer

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  • Design and manage the development of modular, reusable, elegantly designed and maintainable software solutions that support strategic initiatives.
  • Participate in fit-gap workshops with business stakeholders to provide effort estimates and solution proposals.
  • Develop and maintain code repositories for assigned projects and respond rapidly to bug reports or security vulnerability issues.
  • Embody and integrate software development best practices into daily work.
  • Collaborate extensively with colleagues across functional teams to deliver high-quality solutions.
  • Drive data enablement and build digital products/deliver solutions aligned with business prioritizations and technology architects.
  • Contribute to AI/ML initiatives including Gen AI, cloud adoption, data quality improvement, business process simplification, and other strategic pillars.
  • Ensure delivered solutions adhere to architectural and development standards, best practices, and meet requirements as recommended in the architecture handbook.
  • Ensure designed solutions are aligned with Data and Analytics strategy standards and roadmap.
  • Provide regular status updates to product owners and IT management.

Key Requirements:

  • 8+ years of experience in data & analytics in a professional environment, building applications across platforms.
  • 3+ years of experience in delivery management.
  • 3+ years of experience in customer-facing IT roles.
  • 2+ years of experience in Machine Learning.
  • 2+ years of experience in SAP BW on HANA and/or S/4 HANA.
  • 2+ years of experience in cloud platforms.
  • Strong data engineering fundamentals in data management, data analysis, back-end system design.
  • Strong hands-on exposure in Data & Analytics (including predictive and prescriptive analytics) solutions.

Desirable Skills:

  • Collecting and interpreting requirements as well as building supporting solutions to satisfy business needs.
  • Excellent understanding of Supply Chain business processes and KPIs. Knowledge of topics such as inventory management, demand forecasting, real-time logistics management, end-to-end supply chain visibility, supply chain optimization, supply chain digital twin would be highly beneficial.
  • Domain expertise in Pharma industry and/or Healthcare is a plus.
  • Excellent communication, convincing, analytical, and problem-solving skills.
  • Excellent knowledge in Machine Learning, GenAI, Data Lake, Data warehouse, Analytical and Visualization tools (preferably Power BI and Qlik Sense).
  • Hands-on experience in machine learning along with real-time analytics would be preferable.
  • Familiarity with Agile, Disciplined Agile, and Waterfall delivery concepts.
  • Proficiency in using Jira, Confluence, GitHub, Bitbucket, SAP Solution Manager.
  • Familiarity with ERWIN, Data modeling.
  • Hands-on experience in AWS Services, Python, Databricks, Snowflake, Power BI, Angular, SAP Analytics (BW on HANA, BW/4HANA, S/4 HANA).
  • Strong hands-on exposure in Data and Analytics solutions is required.
  • Ability to learn new technologies and functional topics in a short period.

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