Cloud Data Engineer

Long Finch Technologies

Chicago, IL/ Miami, FL

Posted On: Oct 12, 2023

Posted On: Oct 12, 2023

Job Overview

Job Type

Full-time

Experience

5 - 8 Years

Salary

$110,000 - $120,000 Per Year

Work Arrangement

On-Site

Travel Requirement

0%

Required Skills

  • Data Architect
  • Database Engineer
  • Big Data Engineer
  • ETL Developer
Job Description

Responsibilities:

  • Design, develop, and maintain scalable data pipelines and ETL processes to ingest, transform, and load data from various sources into our data warehouse.
  • Collaborate with cross-functional teams to understand data requirements, identify opportunities for data acquisition, and ensure data quality and integrity.
  • Optimize and tune existing data pipelines to improve performance and efficiency.
  • Implement data models and schemas to support business reporting and analytics needs.
  • Develop and maintain data documentation, including data dictionaries, data lineage, and data flow diagrams.
  • Identify and resolve data-related issues, ensuring timely resolution and minimal impact on business operations.
  • Stay up-to-date with emerging technologies and industry trends in data engineering and recommend innovative solutions to enhance our data infrastructure.
  • Mentor and provide guidance to junior members of the team, fostering a culture of continuous learning and growth.

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or a related field. Advanced degree preferred.
  • 5-12 years of professional experience as a Data Engineer, with a proven track record of designing and implementing large-scale data solutions.
  • Strong proficiency in SQL and experience with relational and NoSQL databases.
  • Proficiency in programming languages such as Python, Java, or Scala for data processing and ETL tasks.
  • Experience with data integration tools and technologies such as Apache Kafka, Apache NiFi, or similar.
  • Solid understanding of data warehousing concepts, dimensional modeling, and ETL best practices.
  • Familiarity with cloud-based data platforms (e.g., AWS, Azure, GCP) and associated services (e.g., S3, Redshift, BigQuery).
  • Experience with data orchestration and workflow management tools like Apache Airflow or similar.
  • Strong problem-solving skills and the ability to work in a fast-paced, dynamic environment.
  • Excellent communication and collaboration skills, with the ability to effectively interact with cross-functional teams.

Job ID: LF230226


Posted By

Andy

HR Manager


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