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Senior AWS Data Engineer

CoforgeFort Mill, SC🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationFort Mill, SC, United States
SQLGitAWSETLSnowflakeAirflowPythonAgileProject Management

Job description

Role: Senior AWS Data Engineer

Locations: Fort Mill, SC

Key Skills: Data Engineering, AWS, Airflow, Glue HVR

Mode of Hire: Full time

Job Description:

  • Design, develop, and maintain ETL processes to extract, transform, and load data from various sources into Snowflake.
  • Utilize AWS services such as Airflow and Glue for orchestration and data processing tasks.
  • Implement data integration solutions using HVR to ensure real-time data availability.
  • Write and optimize SQL queries for data retrieval and manipulation.
  • Collaborate with data analysts and other stakeholders to understand data requirements and deliver solutions that meet business needs.
  • Monitor and troubleshoot data pipelines to ensure high availability and performance.
  • Document data processes and maintain data quality standards.
  • Stay updated with the latest industry trends and technologies related to data engineering and cloud computing.

Mandatory Skills:

  • Proven experience with AWS services, particularly Airflow and Glue.
  • Strong knowledge of Snowflake and its data warehousing capabilities.
  • Proficiency in SQL for data manipulation and analysis.
  • Experience with Python for data processing and automation tasks.
  • Hands-on experience with ETL processes and tools.
  • Strong understanding of cloud computing concepts and architectures.

Preferred Skills:

  • Experience with HVR for data replication and integration.
  • Familiarity with data modelling and database design principles.
  • Knowledge of data governance and data quality best practices.
  • Experience with version control systems such as Git.
  • Understanding of Agile methodologies and project management practices.

Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 7-12 years of experience in data engineering or a related role.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.
  • Ability to work independently and as part of a team in a fast-paced environment.

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