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Data Engineer| Remote| 5+ Yrs

  • NSR Information Systems
  • Remote
  • 5 - 14 Yrs
  • 10 - 18 Lacs PA

Job Description

    • Bachelor's degree in Computer Science, Data Science, or related field (or equivalent work experience).
    • Proven expertise in data engineering, ETL development, and data warehousing.
    • Proficiency in AWS Glue ETL, AWS Redshift, Data Modeling, SQL, and Python.
    • Strong knowledge of AWS services and cloud computing concepts.
    • Experience in S3 bucket management and data storage best practices.
    • Familiarity with data visualization tools, particularly Power BI.
    • Exceptional problem-solving skills and keen attention to detail.
    • Effective communication and collaboration abilities for team-oriented work.
    • Capability to manage multiple tasks and priorities in a dynamic, fast-paced AWS environment in AWS Glue ETL, AWS Redshift, Data Modelling techniques, SQL, and Pythmultiple tasks and priorities in a dynamic, fast-paced environment.

Job Responsibilities

    • Design, implement, and maintain ETL processes using AWS Glue to ingest, transform, and load data from various sources into our data warehouse.
    • Develop and optimize data pipelines for efficient data processing and storage within AWS Redshift.
    • Collaborate with cross-functional teams to understand their data needs and create data models that facilitate accurate reporting and analysis.
    • Write complex SQL queries and scripts to extract, transform, and manipulate data for analysis and reporting.
    • Leverage Python programming skills to automate data processes and build custom solutions as needed.
    • Manage AWS Cloud resources, including S3 buckets, to ensure data availability, security, and scalability.
    • Create visually compelling reports and dashboards using Power BI to present data-driven insights to stakeholders.
    • Monitor and maintain data quality, integrity, and performance, identifying and resolving issues proactively.
    • Stay up-to-date with industry best practices and emerging technologies to continuously improve data engineering processes.


Remote, India