Junior Cloud Data Engineer - Pipelines & Analytics

Discount Tire

South Bend (IN)

On-site

USD 65,000 - 90,000

Full time

3 days ago
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Job summary

Tire Rack is seeking a Data Engineer I to join the IT Software Development team. You’ll develop and maintain cloud-based data pipelines using AWS, Databricks, Python, and SQL to empower analytics and data-driven decision-making across the organization.

This role emphasizes scalable solutions and collaboration with IT and business partners. This entry-level position is ideal for a recent graduate with strong Python and SQL fundamentals, a curiosity for data engineering, and a commitment to data

Qualifications

  • 0–2 years of experience in data engineering, cloud development, or a related technical field.
  • Foundational knowledge of Python and SQL.
  • Familiarity with AWS services, including S3, IAM, EC2, and RDS.
  • Exposure to Databricks, Apache Spark, or similar distributed data processing technologies preferred.

Responsibilities

  • Develop, maintain, and troubleshoot ETL/ELT data pipelines using Databricks, PySpark, and SQL.
  • Integrate data from various AWS sources, including S3, RDS, and APIs, into Delta Lake.
  • Monitor data workflows, identify issues, and ensure reliable data processing.
  • Write and optimize SQL queries to support data accessibility and performance.
  • Assist with data governance, security, and access management using Unity Catalog.
  • Collaborate with IT teams and business partners to support data warehousing and analytics initiatives.

Skills

Databricks
PySpark
SQL
Python
AWS
S3
RDS
Unity Catalog
ETL/ELT
Delta Lake

Education

Bachelor's degree in CS/IT/SE or related field

Tools

Databricks
Apache Spark
Unity Catalog

Job description

Tire Rack is seeking a Data Engineer I to join the IT Software Development team. You’ll develop and maintain cloud-based data pipelines using AWS, Databricks, Python, and SQL to empower analytics and data-driven decision-making across the organization.

This role emphasizes scalable solutions and collaboration with IT and business partners. This entry-level position is ideal for a recent graduate with strong Python and SQL fundamentals, a curiosity for data engineering, and a commitment to data

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