Data Engineer @
2 tygodni temu
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.
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.
Our goal is to provide platform based solutions that are convenient to use by partner teams.
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.
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.
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, Big Query, GCP, Kubernetes, Docker,
Glue Tools:
Jira, Confluence, Git Hub, 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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