Data Engineering Consultant

3 days ago

Dallas, Texas, United States Select Minds LLC Full time
Job Title: Data Engineering Consultant

We are seeking an experienced Data Engineer to join our team at Select Minds LLC. The ideal candidate will have a strong background in automating ETL processes and building scalable data infrastructure on AWS.

About the Role:

The Data Engineer will collaborate closely with business stakeholders, analysts, and developers to ensure the successful delivery of high-quality data applications and workflows. Key responsibilities include:

  • Collaborating with cross-functional teams to deliver data applications and solutions.
  • Automating and optimizing ETL pipelines using Python and AWS services.
  • Designing, developing, and managing data workflows for deployment of data products.
  • Building automation frameworks and dashboards to enhance data quality and reporting.
  • Analyzing and interpreting data from multiple sources to support integration and reporting needs.
  • Validating data movement and transformation in both Cloud and On-Prem ETL environments.
  • Troubleshooting data issues, ensuring effective and timely resolutions.
  • Executing data analytics and integration testing within project timelines and budget.
Requirements:

The ideal candidate will have:

  • Strong experience with Python and Cloud Technologies (preferably AWS).
  • Proven ability in automating ETL processes and managing AWS infrastructure using Python.
  • Deep knowledge of AWS services such as S3, Athena, EMR, Glue, Redshift, Kinesis, and SageMaker.
  • Proficiency in SQL, Unix/Linux scripting, and Cloud/On-Prem ETL technologies (Ab Initio, AWS Glue, Informatica, Alteryx).
  • Hands-on experience with large-scale data migration from On-Premise to Cloud environments.
  • Extensive experience in DevOps/DataOps practices.
  • Familiarity with Data Science platforms like SageMaker, H2O, or Machine Learning Studio is a plus.
Preferred Qualifications:

The ideal candidate will also have:

  • Experience with Data Modeling and Data Warehousing concepts, with a focus on Cloud/On-Prem ETL.
  • Strong understanding of data architecture and best practices in analytics platforms.
Nice-to-Have Skills:

The ideal candidate will also have:

  • Experience with tools such as Jenkins and GitLab.
  • Working knowledge of Waterfall and Agile methodologies.
  • Familiarity with storage tools like S3 and HDFS.
  • Experience using industry-standard defect or test case management tools.
Soft Skills:

The ideal candidate will possess:

  • Excellent communication skills, with the ability to collaborate effectively with cross-functional teams.
  • Self-motivated and capable of working independently with minimal supervision.
  • Strong problem-solving skills, with expertise in troubleshooting and debugging code.

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