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4-6 Years
Not Disclosed
Early Applicant
  • Posted 2 months ago
  • Be among the first 10 applicants

Job Description

Job Overview

We are looking for a highly skilled Senior Data Engineer to design, build, and maintain scalable data pipelines and architectures. You will play a key role in transforming raw data into actionable insights, supporting data-driven decision-making across the organization.

Key Responsibilities

  • Design, develop, and maintain data pipelines and ETL processes
  • Build and optimize data architectures and data warehouses
  • Ensure data quality, integrity, and security
  • Work closely with cross-functional teams (analysts, developers, stakeholders)
  • Optimize data workflows for performance and scalability
  • Monitor and troubleshoot data systems and pipelines
  • Mentor junior data engineers (if applicable)

Qualifications

  • At least 4–5 years of experience in Data Engineering or related field
  • Strong knowledge of Python and SQL
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Hands-on experience in ETL/ELT processes and data pipelines
  • Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)
  • Experience with Linux/Unix environments
  • Knowledge of version control (Git) and CI/CD is a plus
  • Strong analytical and problem-solving skills

More Info

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