Senior Data Engineer: Real-Time Analytics & AWS Spark

Digis Corp; United States; Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

20 paid vacation days

5 paid sick leaves

Personalized development plan

Work equipment provided

Transparent communication

Opportunity to switch projects

Job summary

Digis Corp is seeking a Senior Data Engineer to work with a US-based leader in hospitality analytics. You will manage data pipelines, scale processes, and optimize ETL jobs using AWS services and Spark. The ideal candidate has over 5 years of experience in data engineering, with strong skills in SQL and AWS. The position offers 20 paid vacation days and a personalized development plan. Join us to contribute to an innovative project while collaborating closely with a distributed team.

Qualifications

• 5+ years of experience as Data Engineer.
• 2+ years of hands-on production experience with Spark or PySpark.
• 3+ years of experience with the AWS ecosystem (specifically Glue, EMR, S3, and Redshift).
• High level of English for collaboration with US CTO.

Responsibilities

• Manage data pipelines from ingestion to ready-to-use analytical models.
• Scale case detection processes and improve existing services.
• Build, debug, and optimize ETL jobs using AWS Glue, EMR, and Spark.
• Write and improve SQL queries for PostgreSQL/Redshift.

Skills

Data Engineering

Spark

AWS Glue

SQL

ETL processes

PostgreSQL

DynamoDB

Tools

AWS EMR

AWS ECS Fargate

Job description

Digis Corp is seeking a Senior Data Engineer to work with a US-based leader in hospitality analytics. You will manage data pipelines, scale processes, and optimize ETL jobs using AWS services and Spark. The ideal candidate has over 5 years of experience in data engineering, with strong skills in SQL and AWS. The position offers 20 paid vacation days and a personalized development plan. Join us to contribute to an innovative project while collaborating closely with a distributed team.