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Senior Data Engineer

3 hours, 7 minutes ago
Anywhere
Full-time
Senior
Data Engineer
Software Development
Apache Spark AWS CI/CD Docker FastAPI Kafka Machine Learning PostgreSQL Python Redis SQL
Apply Now
GR8 Tech

GR8 Tech

GR8 Tech is a leading B2B iGaming solutions provider, offering a full range of betting and gambling software solutions. Their top-of-the-line software and services cater to iGaming professionals looking to launch, grow, or upgrade their businesses, pro...

IT Services
251-1K
View All Jobs 23

Description

  • Design and operate batch and streaming data pipelines.
  • Architect and evolve data storage layers across lake, analytical, and operational systems.
  • Develop scalable data models for analytics, machine learning, and operational use cases.
  • Ensure data quality, consistency, and observability across data pipelines.
  • Implement real-time processing using event-driven architectures.
  • Build ingestion and transformation workflows using ETL/ELT patterns.
  • Own backfills, reprocessing strategies, and data migrations.
  • Implement CI/CD, monitoring, and SLA-driven operational practices for data systems.
  • Partner with engineers, analysts, and data scientists to design reliable and scalable data solutions.
  • Contribute to data platform standards and best practices.

Requirements

  • 5+ years of experience building and operating production-grade data systems under SLA constraints.
  • Strong proficiency in SQL and Python.
  • Hands-on experience with streaming systems such as Kafka or similar.
  • Experience with batch processing and workflow orchestration.
  • Production experience with relational databases such as PostgreSQL, including performance tuning, indexing, and partitioning.
  • Experience designing high-throughput and low-latency systems.
  • Solid understanding of point-in-time correctness and reproducible data pipelines.
  • Experience with caching systems such as Redis or similar.
  • Cloud experience, with AWS preferred.
  • Experience with analytical engines such as Athena, StarRocks, ClickHouse, or similar.
  • Experience with distributed processing frameworks such as Spark, Flink, or Beam.
  • Experience implementing data quality frameworks and CI/CD for data pipelines.
  • Familiarity with vector databases or columnar storage systems.
  • Experience supporting ML workloads, such as feature pipelines or feature storage patterns, is preferred.
  • Familiarity with training-serving consistency concepts is preferred.
  • Experience building shared data platform components is preferred.
  • Experience building lightweight data-serving APIs such as FastAPI is preferred.
  • Experience working in containerized environments such as Docker is preferred.

Benefits

  • Annual Benefits Cafeteria budget that can be allocated to sports, medical, mental health, home office, and language learning.
  • Paid maternity/paternity leave plus a monthly childcare allowance.
  • 20+ vacation days, unlimited sick leave, and emergency time off.
  • Remote-first work setup with tech support and coworking compensation.
  • Team events including online, offline, and offsite gatherings.
  • Internal courses and growth programs to support learning and development.

Interested in this position?

Apply directly on the company website

Apply Now

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