8 - 13 years

9 - 19 Lacs

Posted:9 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Responsibilities

  • Designing and implementing data pipelines to collect, clean, and transform data from various sources
  • Building and maintaining data storage and processing systems, such as databases, data warehouses, and data lakes
  • Ensuring data is properly secured and protected
  • Developing and implementing data governance policies and procedures
  • Collaborating with business analysts, data analysts, data scientists, and other stakeholders to understand their data needs and ensure they have access to the data they need
  • Sharing knowledge with the wider business, working with other BAs and technology teams to make sure processes and ways of working is documented.
  • Collaborate with Big Data Solution Architects to design, prototype, implement, and optimize data ingestion pipelines so that data is shared effectively across various business systems.
  • Ensure the design, code and procedural aspects of solution are production ready, in terms of operational, security and compliance standards.
  • Participate in day-to-day project and agile meetings and provide technical support for faster resolution of issues.
  • Clearly and concisely communicating to the business, on status of items and blockers.
  • Have an end-to-end knowledge of the data landscape within the company.

Skills & Experience:

  • 10+ years of design & development experience with big data technologies like Azure, AWS or GCP
  • Preferred is Azure & Databricks, with experience in Azure DevOps
  • Experience in data visualising technology in DL, like PowerBI
  • Proficient in Python, PySpark and SQL
  • Proficient in querying and manipulating data from various DB (relational and big data).
  • Experience of writing effective and maintainable unit and integration tests for ingestion pipelines.
  • Experience of using static analysis and code quality tools and building CI/CD pipelines.
  • Excellent communication, problem-solving, and leadership skills, and be able to work well in a fast-paced, dynamic environment.
  • Experience of working on high-traffic and large-scale Software Product

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