Hybrid AWS Data Engineer - Real-Time Analytics & Spark

Interon IT Solutions

Malvern (Chester County)

Hybrid

USD 34,000 - 55,000

Full time

14 days+

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Benefits offered by this job

Hybrid work model

Job summary

Interon IT Solutions is seeking an experienced AWS Data Engineer to design, build, and support scalable data solutions for real-time and offline analytics. You will work with ETL development, Spark/PySpark, SQL, and Tableau to deliver reliable analytics products.

The role requires strong hands-on skills with AWS services (S3, Glue, Redshift, Lambda, IAM) and CI/CD with GitHub. Hybrid work model in Malvern, PA with three days onsite and ongoing collaboration with cross-functional teams.

Qualifications

  • Experience designing and building ETL pipelines for real-time and batch data.
  • Strong Python and PySpark development experience.
  • Expertise in SQL and data modeling for analytics.
  • Hands-on with AWS cloud data services (S3, Redshift, Glue, Lambda).
  • Experience with Tableau reporting and data visualization.

Responsibilities

  • Design, develop, and maintain ETL processes for real-time and batch data processing.
  • Build and support data pipelines and analytics tools.
  • Integrate data from multiple sources to support business reporting.
  • Troubleshoot data quality issues and ensure data integrity and performance.
  • Translate business requirements into technical designs, reports, and data solutions.

Skills

ETL design
Python
PySpark
SQL
AWS services
Tableau
Data quality
CI/CD
Documentation
Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Tableau
GitHub
AWS (S3, Redshift, Glue)
Spark/PySpark tooling

Job description

Interon IT Solutions is seeking an experienced AWS Data Engineer to design, build, and support scalable data solutions for real-time and offline analytics. You will work with ETL development, Spark/PySpark, SQL, and Tableau to deliver reliable analytics products.

The role requires strong hands-on skills with AWS services (S3, Glue, Redshift, Lambda, IAM) and CI/CD with GitHub. Hybrid work model in Malvern, PA with three days onsite and ongoing collaboration with cross-functional teams.

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