Cloud Data Engineer

DFW Metroplex, TX

Full Time

About this role

At evolv Consulting, we are seeking to hire an experienced Cloud Data Engineer to join our team. If you’re a passionate self-starter, evolv is a great place to get ahead.
Responsibilities for this role include:
  • Collaborate with engineers and business customers to understand data needs, capture requirements and deliver complete BI solutions.
  • Accountable for modernization, migration/transformation to a cloud data platform.
  • Design and build data extraction, transformation, and loading processes by writing custom data pipelines using either cloud native services (AWS/GCP/Azure) or using open source tools (like Airflow and Python)
  • Design, implement, and support an Enterprise Data platform (Data Lake, Data Warehouse, etc.) that can provide ad-hoc access to large scale structured, semi-structured, and/or unstructured datasets
  • Deliver transformative solutions to clients that are aligned to industry best practices and provide thought leadership in data architecture and engineering.
  • Communicate data-backed findings to a diverse constituency of internal and external stakeholders.
  • Build frameworks for data ingestion pipeline both real-time and batch using best practices in data modeling, ETL/ELT processes, and hand off to data engineers.
  • Participate in technical decisions and collaborate with talented peers.
  • Review code, implementations and give meaningful feedback that helps others build better solutions.
  • Helps drive technology direction and choices of technologies by making recommendations based on experience and research.
  • Additional duties as assigned.

Requirements

  • 4+ years of experience in Cloud Data Engineering or similarly focused roll handling Computer Science, Mathematics, or related field
  • Experience with ETL, application development, data science, Big Data, reporting, building and optimizing data pipelines and data sets
  • Extensive SQL knowledge
  • Experience with cloud technologies and associated: AWS, S3, EC2, DynamoDB, Aurora, Athena, Glue, Lambda Snowflake, Matillion, Microsoft Azure (Synapse, ADF), AWS (Redshift, S3, Lambda, Kinesis, Athena), Kafka, Confluent, Starburst, Fivetran, dbt, SQL, Microsoft, SQL Server, Python and  Terraform, Python, Java, C++, Scala.
  • Experience with Enterprise Integration and ETL platforms.

Apply to Cloud Data Engineer