Data Engineer

ComTec
Newark, United States of America
27 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Newark, United States of America

Tech stack

Amazon Web Services (AWS)
Amazon Web Services (AWS)
ETL
Data Security
Data Systems
Dimensional Modeling
Python
Power BI
Shell Script
SQL Databases
Data Lake
Star Schema
Amazon Web Services (AWS)
Tools for Reporting
Data Pipelines

Job description

We are seeking a highly skilled Senior Data Engineer to design and implement scalable, high-performance data solutions. This role will serve as the bridge between business requirements and technical implementation translating strategic data needs into detailed design documents and data models that enable analytics, reporting, and business insights.

Requirements

  • Bachelor s degree with 4+ years of relevant experience
  • Design, develop, configure, test, and document scalable data solutions to meet business and technology requirements
  • Analyze enduser, business, and technical needs and translate them into effective data and technology solutions
  • Build, maintain, and optimize ETL/ELT data pipelines using AWS services, Python, SQL, and shell scripting
  • 3+ years of experience in AWS data services (S3, Glue, Redshift, Athena, Lambda, EMR, RDS)
  • 3+ years of experience in ETL/ELT development using Python, SQL, and shell scripting
  • Proven expertise in dimensional modeling (Star and Snowflake schemas).
  • Understanding of data modelling principles and techniques.
  • Knowledge of data security best practices and compliance requirements.
  • Experience with data lake architectures and integration with Redshift (e.g., S3, Lake Formation).
  • Data lake integration with reporting tools such as Power BI
  • Production support, monitoring, and troubleshooting of data pipelines
  • Strong analytical, problem-solving, and communication skills
  • AWS certification preferred.

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