Data Architectural Specialist

2 weeks ago


Bengaluru, Karnataka, India VERTISCRIPT GLOBAL IT SERVICES PRIVATE LIMITED Full time
Job Description:

A Data Engineer plays a pivotal role in constructing and maintaining a centralized repository of datasets used for advanced analytics and machine learning at VertiScript Global IT Services Private Limited.

Your focus will be on designing efficient data processing pipelines, developing robust data architectures, and ensuring data accessibility across the organization.

Key Responsibilities:
  • Data Processing Pipelines:
    Design, develop, and maintain efficient ETL processes for diverse datasets.
    Implement and optimize data transformation and validation processes to ensure accuracy and consistency.
    Collaborate with teams to understand data requirements and implement business logic.
  • Data Architecture and Design:
    Architect, build, and maintain scalable, high-performance data pipelines.
    Explore and implement new technologies to enhance pipeline efficiency and reliability.
    Develop pipelines for scraping data from publicly available web sources and other ad-hoc sector-specific datasets.
  • Data Modeling and Governance:
    Design and implement data models that support analytics and reporting.
    Optimize database structures for enhanced performance and scalability.
    Establish and maintain data quality checks and governance standards.
  • Cross-Functional Collaboration:
    Partner with Quant teams and developers to optimize data pipelines.
    Engage with external stakeholders to gather business requirements for database enrichment.
Required Skills and Qualifications:
  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Minimum of 2 years of proven experience as a Data Engineer with expertise in ETL techniques.
  • Strong programming skills in Python, Java, or Scala.
  • Experience in scraping and transforming data from publicly available web sources.
  • Proficiency in SQL and familiarity with relational and non-relational databases.
  • Experience with cloud-based platforms such as AWS, Azure, or GCP.
  • Solid understanding of data warehousing concepts and architectures.
  • Knowledge of big data technologies such as Hadoop, Spark, and Kafka.
  • Expertise in data modeling tools and techniques.
Preferred Qualifications:

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