![Remitly Poland sp. z o.o.](https://media.trabajo.org/img/noimg.jpg)
Data Engineer @
2 tygodni temu
Today, we are reimagining global financial services and building products that extend beyond traditional barriers to give customers access to more of the services they need, no matter where they call home.
Join over 2,700 employees worldwide who are growing their careers with purpose and connection with our customers while having a positive impact on millions of people around the globe.
Our BenefitsEquity in the company - RSUs
Employee Stock Purchase Plan (ESPP)
min. 26 days paid holidays + additional company's days off
Royalties (KUP)
Hybrid work arrangements with an office in a Kraków City Centre
Commuting to work expense/remote work expenses reimbursement
Health/Dental Coverage - LUX MED VIP for employee and family
Life Insurance
Travel insurance for employee and family
Sodexo Lunch Card/Multisport
Education / Conferences Budget
Equipment of your choice
Mental health program for employee and their dependents
Family planning program
Employee Pension Plan (PPK)
Headphones Reimbursement
Referral bonus scheme
About the Role:
The Data Engineering team's mission is to enable product teams to deliver their goals by equipping them with a robust platform and expected data quality and cadency.
As a Data Infrastructure Engineer - Data Platform , you'll work on technical problems including designing and developing data platforms focused on streaming and batch processing, involving other data related technologies.
That also means working closely with other teams to establish data interfaces and contracts.The technology stack we use is AWS, including third-party tools.
You will report directly to the Cracow-based Engineering Manager.
You Have:
ABS/MS in Computer Science or equivalent professional experience
4+ years of experience as a software developer
Experience designing, building and maintaining data infrastructure in streaming and batch processing
Strong understanding data concepts and processes, especially in distributed environments
Ability to collaborate and work with engineers and product managers
Experience in storage technologies like Amazon S3 or GCP Cloud Storage
Experience in a programming language and version control systems like Python, Scala, Go, Github
Proficiency in database environments, rdbms, column-oriented dbms, distributed dbms
Experience in big data systems like Hadoop, EMR, Bigquery, Athena, AWS Redshift/Spectrum, AWS Glue, AWS Kinesis, SNS/SQS
Nice to have if familiar with Kubernetes or Docker
Remitly's vision is to transform lives with trusted financial services that transcend borders. Since 2011, we have been tirelessly delivering on our promises to people who send money around the world.
Today, we are reimagining global financial services and building products that extend beyond traditional barriers to give customers access to more of the services they need, no matter where they call home.
Join over 2,700 employees worldwide who are growing their careers with purpose and connection with our customers while having a positive impact on millions of people around the globe.
Our BenefitsEquity in the company - RSUs
Employee Stock Purchase Plan (ESPP)
min. 26 days paid holidays + additional company's days off
Royalties (KUP)
Hybrid work arrangements with an office in a Kraków City Centre
Commuting to work expense/remote work expenses reimbursement
Health/Dental Coverage - LUX MED VIP for employee and family
Life Insurance
Travel insurance for employee and family
Sodexo Lunch Card/Multisport
Education / Conferences Budget
Equipment of your choice
Mental health program for employee and their dependents
Family planning program
Employee Pension Plan (PPK)
Headphones Reimbursement
Referral bonus scheme
,[Design, develop and maintain large-scale data infrastructure and platform solutions for streaming and batch processing, Partner with engineers across teams to determine and implement features which bring most value to our customers, Work in a 'you build it, you run it' environment, where you hold responsibility, including paid on-calls] Requirements: Data engineering, Data, Python, AWS, Scala, Golang, Hadoop, Redshift, Kinesis, SQS, SNS, Athena, BigQuery, GCP, Kubernetes, Docker,
Glue Tools:
Jira, Confluence, GitHub, GIT
Additionally:
Private healthcare, Training budget, Sport subscription, Flat structure, Lunch card, Small teams, International projects, Stock units, Stock Units Employee Programme, Life insurance, Unlimited Udemy access, Travel insurance, Unlimited paid time off, Free coffee, Bike parking, Canteen, Shower, Free snacks, Free parking, In-house trainings, Startup atmosphere, Modern office, No dress code, Free beverages, Free lunch, Free breakfast, In-house hack days.
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