Data Engineering Specialist

2 days ago

Amrāvati, Maharashtra, India beBeeDataEngineering Full time ₹ 20,00,000 - ₹ 30,00,000

Role Overview

  • We are seeking a highly skilled and motivated Data Engineer to join our dynamic team and contribute to our mission of harnessing the power of data to drive growth and success.
About the Role

This is an exciting opportunity to work with cutting-edge technologies and shape the future of data-driven decision-making at our organization. As a Data Engineer, you will play a critical role in designing, implementing, and maintaining our data infrastructure to support our customer experience and management initiatives.

You will collaborate with cross-functional teams to understand business requirements, architect scalable data solutions, and ensure data quality and integrity.

This role requires strong problem-solving skills, attention to detail, and excellent communication and collaboration skills to work effectively with cross-functional teams.

Responsibilities
  • Design, develop, and maintain scalable data pipelines and ETL processes to ingest, transform, and store data from various sources.
  • Collaborate with business stakeholders to understand data requirements and translate them into technical solutions.
  • Implement data models and schemas to support analytics, reporting, and machine learning initiatives.
  • Optimize data processing and storage solutions for performance, scalability, and cost-effectiveness.
  • Ensure data quality and integrity by implementing data validation, monitoring, and error handling mechanisms.
  • Collaborate with data analysts and data scientists to provide them with clean, reliable, and accessible data for analysis and modeling.
  • Stay current with emerging technologies and best practices in data engineering and recommend innovative solutions to enhance our data capabilities.
Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven 3+ years' experience as a data engineer or similar role.
  • Proficiency in SQL, Python, and/or other programming languages for data processing and manipulation.
  • Experience with relational and NoSQL databases, data warehousing, and data modeling concepts.
  • Strong understanding of distributed computing frameworks and cloud-based data platforms.
  • Familiarity with data visualization tools and data pipeline tools is a plus.
  • Solid understanding of ETL/ELT processes, data validation, and data security best practices.
  • Experience in version control systems and CI/CD pipelines.

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