Data Engineering Specialist

1 week ago


Bengaluru, Karnataka, India People's Growth HR Solutions Full time

About People's Growth HR Solutions

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We are a dynamic and innovative company that provides cutting-edge solutions for our clients.

Job Title: Senior Data Engineer

Location: Bangalore, Karnataka

Salary: ₹1,200,000 - ₹1,500,000 per year, depending on experience

Job Description:

As a Senior Data Engineer at People's Growth HR Solutions, you will play a critical role in helping our Data Science team enrich and maintain the central repository of datasets used for advanced data analytics and machine learning techniques. You will work closely with cross-functional teams to develop and implement robust data pipelines that automate the updation of data in our cloud-based repository, increasing data accessibility for the entire organization.

Main Responsibilities:

  • ETL Development: Design, develop, and maintain efficient ETL processes for multi-scale data sets.
  • Data Pipeline Architecture: Architect, build and maintain scalable and high-performance data pipelines, evaluate and implement new technologies to enhance data pipeline efficiency and reliability, and create pipelines for extracting data through scraping for ad-hoc sector-specific datasets.
  • Data Modelling: Develop and implement data models to support analytics and reporting needs, optimize database structures for performance and scalability.
  • Data Quality and Governance: Implement data quality checks and governance processes to ensure data integrity, collaborate with stakeholders to define and enforce data quality standards.
  • Documentation and Communication: Document ETL processes, data models, and other relevant information, communicate complex technical concepts to non-technical stakeholders effectively.
  • Cross-functional collaboration: Collaborate internally with the Quant team and developers to lay and optimize the data pipelines and externally with stakeholders to understand business requirements for the enrichment of the cloud database.

Required Skills and Qualifications:

You must have prior professional, non-internship experience in software development, specifically within product startup environments. A bachelor's degree in Computer Science, Information Technology, or a related field is required. You should have proven experience as a Data Engineer with expertise in ETL techniques, strong programming skills in languages such as Python, Java, or Scala, and skillset to scrape and transform data off of publicly available web sources.

Preferred Qualifications:

A master's degree or equivalent in Computer Science/ Data Science is preferred. Knowledge of data streaming and real-time processing, familiarity with data governance and security best practices, are also desirable.



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