Data Engineer (Python, SQL, AWS)

HCL Global Systems, Inc.

$90K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's Degree in a technology related field required.
  • Extensive experience in relational databases like Oracle or Snowflake.
  • Development experience using Python.
  • Experience in Data warehousing and data modelling.
  • Experience in developing data applications in Cloud (AWS/Azure/Google Cloud).
  • Experience with ETL technologies such as Informatica or Snaplogic.
  • Experience with Business Intelligence and Dashboards is a plus.

Responsibilities

  • Collaborate with team members to design and implement data solutions.
  • Create and optimize ETL processes for data ingestion.
  • Build and maintain a Snowflake-based Data Lake on AWS.
  • Develop data models to support analytics and reporting.
  • Conduct data analysis to inform business decisions.
  • Ensure data quality and integrity across various platforms.

Benefits

  • Collaborative team environment fostering innovation.
  • Opportunities for intellectual growth and learning.
  • Exposure to cutting-edge cloud technologies.
  • Involvement in a significant enterprise-level project.
Full Job Description
We are currently sourcing for a Data Engineer to work in Durham, NC!
The Role
If you are an experienced Software engineer with a passion for data and databases, who enjoys data analysis, data modelling and creating ETL data flows, and wants to be a part of a collaborative team environment where you will have wealth of opportunities to innovate and have intellectual curiosity to learn, You will be part of a team that is building a Snowflake based enterprise-wide Data Lake on AWS.

The Expertise and Skills You Bring
  • Bachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required.
  • Extensive experience in relational databases like Oracle or Snowflake
  • Development experience using Python
  • Experience in Data warehousing, data modelling and creation of data marts.
  • Experience in developing data applications in Cloud (AWS/Azure/Google Cloud)
  • Experience with ETL technologies (Informatica/Snaplogic etc)
  • Experience with Business Intelligence and Dashboards is a plus
  • Experience with DevOps, Continuous Integration and Continuous Delivery (Maven, Jenkins, Stash, Ansible, Docker) is a plus
  • Experience in Agile methodologies (Kanban and SCRUM) is a plus

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