Data Engineer

GTECH LLC

Malvern (Chester County)

On-site

USD 90,000 - 115,000

Full time

14 days+

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Job summary

GTECH LLC in Malvern, Chester County, seeks a Data Engineer to design and maintain ETL/ELT pipelines. Candidates should have 4-8+ years of experience in data engineering, with strong skills in SQL, Python, and AWS, along with familiarity in data warehousing solutions.

The role involves optimizing data models for scalable reporting and ensuring data quality through validation and monitoring. Join GTECH LLC to further your career in a dynamic environment focused on data governance and performance optimization.

Qualifications

  • 4–8+ years of experience in data engineering or data platform development.
  • Robust proficiency in SQL, Python, and AWS.
  • Experience supporting BI/reporting tools such as Power BI and Tableau.

Responsibilities

  • Design, build, and maintain robust ETL/ELT pipelines.
  • Develop curated data layers optimized for BI consumption.
  • Monitor pipelines and troubleshoot issues proactively.

Skills

Data engineering
SQL
Python
AWS
Data warehousing
Data modeling

Tools

Power BI
Tableau
Snowflake
Redshift
BigQuery

Job description

  • Design, build, and maintain robust ETL/ELT pipelines to ingest, transform, and deliver data for reporting use cases
  • Develop curated data layers (e.g., bronze/silver/gold) optimized for BI consumption
  • Ensure high data quality through validation, monitoring, and automated checks
Reporting Infrastructure Enablement
  • Build and optimize data models to support scalable reporting
  • Partner with analytics teams to translate business requirements into performant data structures
  • Enable self-service reporting by creating well‑documented, reusable datasets
Platform & Performance Optimization
  • Improve performance of data pipelines and queries for large‑scale datasets
  • Implement efficient partitioning, indexing, and query optimisation strategies
  • Support cloud‑based environments (e.g., Azure, AWS, or GCP)
Data Governance & Reliability
  • Establish standards for data lineage, documentation, and metadata management
  • Ensure adherence to data governance, security, and compliance practices
  • Monitor pipelines and troubleshoot issues proactively
Required Qualifications
  • 4–8+ years of experience in data engineering or data platform development
  • Robust proficiency in SQL, Python, and AWS
  • Experience building pipelines with tools such as:
  • Experience with data warehousing solutions (e.g., Snowflake, Synapse, Redshift, BigQuery)
  • Robust understanding of data modeling concepts (star schema, dimensional modelling)
  • Experience supporting BI/reporting tools (e.g., Power BI, Tableau)
Preferred Qualifications
  • Experience building reporting infrastructure from scratch or during organisational expansion
  • Familiarity with data contracts and data product thinking
  • Exposure to DevOps and CI/CD pipelines for data (Git, automated deployments)
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