Data Transformation Leader

1 week ago

Pushkar, Rajasthan, India beBeeData Full time US$ 1,80,000 - US$ 2,00,000
Job Title

Senior Data Architect Job Description

  • Lead large-scale data engineering, integration and warehousing projects to develop custom integrations between cloud-based systems using APIs, write complex queries to transform raw data sources into easily accessible models and create data expertise.

Key Responsibilities:

  • Provide strategic leadership to the software development team fostering a culture of innovation, collaboration and continuous improvement.
  • Develop and implement a robust software development strategy aligned with the company's overall objectives and long-term vision.
  • Collaborate with product management to define software requirements, scope and priorities ensuring alignment with business goals.
  • Guide the software development team in creating technical design specifications, architecture and development plans for complex software projects.
  • Ensure adherence to industry best practices, coding standards and software development methodologies to deliver high-quality and scalable software solutions.
  • Monitor and analyze software development metrics and key performance indicators (KPIs) to track team productivity, efficiency and code quality.

Required Skills and Qualifications:

  • Bachelor's or master's degree in computer science, Software Engineering or a related field.
  • Proven experience in a senior leadership role within software development or software engineering.
  • Demonstrated success in delivering complex software projects on time and within budget.
  • Strong technical expertise in software architecture, design patterns and modern software development languages and frameworks.
  • Excellent communication, interpersonal and leadership skills.
  • Exceptional problem-solving and decision-making abilities.

Technical Skills:

  • Proficiency with solutions for processing large volumes of data, using data processing tools and Big Data platforms.
  • Understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS, SQL experience.
  • Hands-on experience in production rollout and infrastructure configuration.
  • Experience working with PCI Data and working with data scientists.
  • Knowledge of design principles and patterns.
  • Experience with cloud platforms and services such as AWS, Azure or Google Cloud Platform.

Preferred Experience:

  • Experience working with NoSQL Databases such as Cassandra, HBase, DynamoDB and Elastic Search.

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