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Senior Data Engineer

3 months ago

Charlotte, United States eTek IT Services, Inc. Full time
Job DescriptionJob Description
Key Responsibilities:
  • Develop and maintain robust data pipelines using technologies such as Apache Spark, Python, and AWS services.
  • Design and implement data models for efficient storage and retrieval of structured and unstructured data.
  • Collaborate with cross-functional teams to understand data requirements and provide technical expertise.
  • Optimize and troubleshoot data processes to ensure high performance and reliability.
  • Create and maintain documentation for data engineering processes, workflows, and best practices.
  • Implement ETL processes to transform and load data from diverse sources into data warehouses or lakes.
  • Participate in code reviews and contribute to the continuous improvement of data engineering practices and standards.
  • Develop and maintain data quality and governance frameworks to ensure data accuracy and integrity.
  • Identify opportunities to enhance data infrastructure and propose innovative solutions to address business needs.
  • Stay current with industry trends and advancements in data engineering to drive continuous innovation.
Required Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 5+ years of professional experience in data engineering or a related role.
  • Proven expertise in Python and SQL for data manipulation, analysis, and scripting.
  • Extensive experience with Apache Spark for big data processing and analytics.
  • Strong understanding of data modeling principles and techniques.
  • Advanced knowledge of ETL processes and data warehousing concepts.
  • Experience with cloud platforms such as AWS for building and deploying data solutions.
  • Proficiency in data pipeline development using tools and frameworks like Apache Airflow or similar.
  • Solid understanding of distributed computing principles and big data technologies.
  • Excellent problem-solving skills and the ability to optimize data processes for performance and scalability.
  • Experience in implementing data governance and quality assurance measures.
  • Strong communication and collaboration skills to work effectively within a team and across departments.
  • Ability to multitask and manage priorities in a fast-paced, dynamic environment.
  • Relevant certifications in data engineering or cloud platforms are a plus.
  • Deep passion for data-driven decision-making and continuous learning in the field of data engineering.