All offersWarszawaDataData Engineer
Data Engineer
new
Data
Customertimes

Data Engineer

Customertimes
Warszawa
Type of work
Full-time
Experience
Mid
Employment Type
B2B
Operating mode
Remote
Customertimes

Customertimes

Customertimes is a global digital engineering, product development, and technology consulting company. Headquartered in New York, we have a team of 1300+ experts and offices in 12 countries. As a global IT consulting company, we spark the world of tech with excellent solutions to industry leaders in healthcare, life sciences, consumer packaged goods, manufacturing, financial services, education, and the nonprofit sector.

Company profile

Tech stack

    Python
    master
    AWS
    master
    Glue
    advanced
    Lambda
    advanced
    DMS
    advanced
    Dataflow
    advanced
    Qlik Replicate
    advanced

Job description

Online interview

We are seeking an experienced, dedicated, and well-organized Middle Data Engineer to join one of our teams at Customertimes!


About the project:

Our client is a global insurer and the third-largest property and casualty insurer in the United States.​

Customertimes is looking for a Middle Data Engineer to join our team for an insurance project!


What you’ll do:

• ETL implementation

• Development of data pipelines, integration with different sources, data replication and validation

• Infrastructure maintenance

• Monitoring of daily processes

• Communication with analysts and customer to get requirements and ensure a good result

• Address issues related to scalability, consistency, reliability, efficiency, and maintainability


It’s all about you:

• 3+ years of experience and a strong understanding of AWS Data Infrastructure

• 3+ years of experience and strong knowledge in services: CloudFormation, AIM, Glue, Lambda, DMS, StepFunctions, EventBridge

• 3+ years of experience using Python in a Data environment

• Strong knowledge and understanding of Glue Data Catalogue

• Experience with IaC and SaaS paradigm

• Upper-intermediate-level of English


Nice to have:

• Experience working with Spark

• Understanding of Delta Lake

• Other programming language: Scala, Java, TypeScript

• Other AWS applications: Lake Foundation, Data Encryption, Event bus

• Experience working with Lakes and Lakehouses

• Experience with Qlik Replicate

• Experience working in insurance or Fin-Tech industry company


Tech Stack:

• AWS

• DataFlow

• Delta Lake

• Glue integration

• Kinesis

• DMS

• Qlik Replicate

• DataDog

• CloudForge


Hiring Process:

• Intro call with a Recruiter (30 min)

• First stage interview (1-1,5 hours)

• Second stage interview (1 hour)

• Reference check

• Offer



What we offer:

  • Financial stability and competitive compensation depending on experience and skills
  • B2B contract
  • Social package – Private Medical Healthcare
  • Transparent professional and career growth development plans
  • Buddy system
  • Flexible work schedule
  • 20 working days of paid vacation leave
  • 5 days off on demand
  • 15 working days of paid sick leave with a certificate
  • 4 months of paid Maternity Leave on B2B
  • Referral Program
  • Access to Language Learning Platform goFluent
  • Additional training and certifications
  • Friendly team and pleasant working environment

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Informujemy, że administratorem danych jest Customertimes z siedzibą wJ. Warsaw, ul. Bartoszewicza 3/11, 00-337 (dalej j...more