All roles

AWS ENGINEER – DATA PLATFORMS

Remote · USA Full-time New today

This a Full Remote job, the offer is available from: Idaho (USA) ABOUT THE COMPANY LITIT, a joint venture between NTT DATA and Reiz Tech, is a company with deep-rooted industry know-how, dedicated to innovation within the IT sector. Its primary focus is delivering high-quality solutions in the DACH region. With a commitment to excellence, LITIT combines the best of German precision, Japanese work ethics, and Lithuanian talent to provide unparalleled IT service and support to its clients. ABOUT THE ROLE We are looking for an experienced AWS Data Engineer to join the development of our IoT Insurance Data Platform (IDP). In this role, you will design, build, and optimize scalable, cloud-native data solutions that power analytics, data products, and machine learning use cases in an industrial IoT and insurance environment. You will work in a modern AWS ecosystem, contributing to a data platform built on lakehouse principles, enabling high-performance data processing, governed data access, and event-driven data workflows. The ideal candidate combines strong AWS engineering expertise with hands-on experience in data platforms, distributed processing, and infrastructure automation. RESPONSIBILITIES

  • Design, implement, and operate scalable, cloud-native data pipelines and platform components on AWS
  • Build and maintain ETL/ELT workflows, data lakes, and data mesh components
  • Develop, optimize, and troubleshoot PySpark-based data processing jobs for large-scale and time-series datasets
  • Design and manage data schemas, tables, permissions, and metadata using AWS Glue Data Catalog and Lake Formation
  • Develop and maintain AWS Glue Jobs for data ingestion, transformation, and orchestration
  • Build and support event-driven architectures leveraging AWS Lambda, SNS, SQS, and Step Functions
  • Integrate internal and external systems through APIs using AWS API Gateway and related services
  • Monitor platform health, performance, and operational metrics using Amazon CloudWatch
  • Ensure efficient, reliable, secure, and cost-effective data processing across the platform
  • Contribute to Infrastructure as Code, CI/CD pipelines, and automated deployment processes
  • Collaborate closely with data platform, analytics, and product teams in an Agile (Scrum) environment

REQUIREMENTS

  • Strong hands-on experience with AWS services, including:
  • AWS Glue (Jobs and Data Catalog)
  • Lake Formation
  • AWS Lambda
  • Amazon S3
  • Amazon Athena
  • AWS Step Functions
  • Amazon DynamoDB
  • Amazon API Gateway
  • Amazon CloudWatch
  • Amazon SNS and SQS
  • Proven experience in data engineering, including designing, building, and operating ETL/ELT pipelines
  • Strong experience working with data lakes, lakehouse architectures, and/or data mesh concepts
  • Solid hands-on experience with Spark and PySpark for distributed data processing and performance optimization
  • Strong Python development skills
  • Experience with modern data formats such as Apache Iceberg and Parquet
  • Experience integrating and consuming APIs and data exchange services
  • Experience with CI/CD pipelines and automated deployment practices
  • Experience working in cross-functional Agile (Scrum) teams
  • Proven ability to deliver production-grade, scalable, and maintainable cloud data solutions
  • Willingness and readiness to travel as required by project or client needs is expected. This may include occasional domestic or international travel, sometimes on short notice.

Nice to have:

  • Experience with Infrastructure as Code, preferably Terraform
  • Experience designing and managing AWS infrastructure through Terraform
  • Understanding of event-driven and serverless architectures
  • Basic understanding of machine learning concepts, ML lifecycle, and MLOps practices
  • Experience working with industrial IoT, telemetry, sensor, or time-series data

WHAT WE OFFER

  • Salary range: €4000 - €6000 (GROSS) / month.
  • Learning opportunities with compensated certificates, learning lunches, and language lessons.
  • Chance to switch projects after one year.
  • Team building twice a year.
  • Office in Vilnius, Lithuania that offers themed lunches and a pet-friendly environment.
  • Remote work opportunities.
  • Flexible time off depending on a project.
  • Seasonal activities with colleagues.
  • Additional health insurance and loyalty days for Lithuanian residents.
  • Referral bonuses.
  • Recognition of important occasions of your life.

This offer from "LITIT" has been enriched by Jobgether.com and got a 72% flex score. Apply To This Job

Related roles

AWS Engineer - Workspaces & Terraform IaC | Fully Remote (Fastwater Staffing)

Remote · USA Full-time

Data Engineer (Data Bricks and AWS Cloud)

Remote · USA Full-time

Full-Time :: Local to the NY / NJ / PA (Remote) :: AWS DevOps Engineer (Only G.C / U.S.C)

Remote · USA Full-time

Azure Engineer, Associate

Remote · USA Full-time

Sr. Azure Infrastructure Engineer :: Mechanicsville, VA (Hybrid)

Remote · USA Full-time

Data Engineer (Azure) - Remote, Latin America

Remote · USA Full-time

Senior Azure Engineer

Remote · USA Full-time

GCP Cloud Engineer - REMOTE in US

Remote · USA Full-time

GCP Data Engineer (Health Care Background Must)

Remote · USA Full-time

[Remote] GCP Cloud Engineer/Architect

Remote · USA Full-time

VICE PRESIDENT BEHAVIORAL HEALTH STRATEGY & OPERATIONS (REMOTE)

Remote · USA Full-time

Customer Team Leader (District Sales Manager), Cardiovasular Disease - Houston District

Remote · USA Full-time

Experienced Data Entry Operator – Digital Database Management and Administration

Remote · USA Full-time

Coordinator, Risk Management

Remote · USA Full-time

Experienced Customer Service Representative – Remote Aviation Industry Role with arenaflex

Remote · USA Full-time

Experienced Part-Time Online Chat Support Agent – Deliver Exceptional Customer Service in a Flexible Remote Environment

Remote · USA Full-time

Electrical Engineer

Remote · USA Full-time

Experienced Part-Time Remote Data Entry Clerk – High Accuracy and Attention to Detail Required

Remote · USA Full-time

Experienced Part-Time Remote Data Entry Specialist – CVS Health

Remote · USA Full-time

Experienced Data Entry Associate – Entry-Level Position at arenaflex

Remote · USA Full-time