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1 Week ago

Data Architect

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Pimpri-chinchwad, Maharashtra, India
Information Technology
Full-Time
Nice Software Solutions Pvt. Ltd.

Overview

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Full Time

Rotational Shift

Job Location: Nagpur/ Pune

No. Of Positions: 2

Experience Required: 12+ Years

Responsibilities

  • Collaborate with business stakeholders to understand their data integration needs and requirements.
  • Translate business requirements into technical specifications and design.
  • Develop architectural solutions that align with the bank's overall IT strategy.
  • Possess in-depth knowledge of ETL products
  • Stay updated on the latest features, updates, and best practices within the ETL ecosystem.
  • Experience on implementing real time data streaming architecture using ETL tool
  • Implement data integration solutions to facilitate the seamless flow of data across various systems within the bank.
  • Address data quality and consistency issues during the integration process.
  • Identify and address performance bottlenecks in ETL workflows and mappings.
  • Optimize data integration processes for efficiency and speed.
  • Implement security measures to protect sensitive data during integration processes.
  • Ensure compliance with relevant data protection and privacy regulations.
  • Work closely with other IT teams, including database administrators, developers, and infrastructure teams, to ensure a cohesive and well-integrated solution.
  • Create and maintain comprehensive documentation for the implemented data integration solutions.
  • Ensure that documentation is up-to-date and accessible to relevant stakeholders.
  • Manage and lead data integration projects, ensuring that they are delivered on time and within budget.
  • Collaborate with project managers to define project scope, goals, and deliverables.

Required Skills

  • Good communication and time management skills.
  • Good organizational skills.
  • Sound understanding of data. Hands on experience in DWH, Data modelling, Schema designing.
  • Proficient with SQL
  • Proficient with MS-Office.
  • Familiarity with data warehousing concepts, dimensional modeling, and data integration patterns
  • Ability to work under pressure and in a competitive environment.
  • Good analytical and decision-making skills.

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