Работа Data Engineer
40 нови обяви за работа
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Stand out and lead the way. Define an industry. Forge the path to truly blockchain-based, deflationary, and limitless finance. Nexo is the world’s leading regulated digital assets institution. Our mission is to maximize the value and utility...
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7,230 лв - 9,030 лв / месец (нето) от работодател
Data Platform Engineer (Azure) Sofia/hybrid 8500-10.500 BGN gross/month (105.000-125.000 BGN gross/year + bonuses) Nordic Recruitment & Consulting offers efficient IT and Cyber Security recruitment and business consulting in Bulgaria - and beyond. ...
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1,940 лв - 2,250 лв / месец (нето) от работодател
Data Administrator with French Sofia/hybrid 27.000-34.000 BGN gross/year + bonus up to 6000 BGN Nordic Recruitment & Consulting offers efficient IT and Cyber Security recruitment and business consulting in Bulgaria - and beyond. Having long experi...
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About DXC Bulgaria We are DXC - a Fortune 500 global IT services leader. In Bulgaria, we are among the largest employers with over 4,000 employees working on the company's entire IT portfolio. We are flexible - we provide everything you need to comf...
Какво е това?
Това е изчисление на Yox за приблизителната работна заплата за тази позиция. Посочената стойност не е потвърдена от работодателя и може да се различава с реалната стойност на предлаганото възнаграждение.
Как се смята?
Изчислена Заплата е приблизителната стойност на възнаграждение за конкретната позиция на базата на данни от стотици хиляди обявени заплати по професия за последните 2 години. В Yox се предоставя и информация за заплатите от служители, която също е част от изчислението.
Защо тази информация е полезна?
Можеш да разбереш приблизителната заплата за тази позиция. Можеш и да филтрираш списъкът с обявите за работа по размер на работната заплата.
Пълно описание
Position Highlights
We are seeking a skilled and experienced Data Engineer to join our team. The ideal candidate will be deeply involved in discovering, analyzing, and assembling large and complex data sets. They will design and build our big data infrastructure, ensure data security, and optimize the performance of our big data platforms, primarily within the AWS cloud environment.
Main Responsibilities:
- Discover, analyze, and assemble large, complex data sets to meet functional and non-functional business requirements
- Design, build, optimize, and maintain robust 'big data' data pipelines, architectures, and datasets
- Build scalable ETL pipelines for various data sources using Python in the AWS/Azure ecosystem
- Engage with AWS services including AWS Lambda, Amazon EventBridge, Amazon S3, Amazon Kinesis, and AWS Step Functions
- Implement and manage ELK stack or OpenSearch-based platforms
- Ensure robust data security measures and access controls are implemented across our AWS data infrastructure
- Collaborate with team members to improve existing systems, streamline processes, and drive data-related initiatives
- Understand and leverage the architecture of data warehouses for optimal performance
- Troubleshoot and resolve data issues, ensuring data accuracy and reliability
- Collaborate effectively with cross-functional teams, presenting data findings and insights when required
Requirements:
- 4+ years of experience in building, optimizing, and maintaining big data pipelines and architectures
- Strong proficiency in Python
- Experience with ELK stack or OpenSearch platforms
- Familiarity with AWS services (such as AWS Lambda, Amazon S3, Amazon EventBridge, Amazon Kinesis, and AWS Step Functions) or Azure (optional)
- Hands-on experience with ETL pipeline construction in an AWS/Azure environment
- Solid understanding of data security and implementing access controls in the AWS/Azure cloud platform
- A clear grasp of Data Warehouse architecture concepts
- Exceptional problem-solving, analytical skills, and a knack for troubleshooting complex data challenges
- Strong interpersonal skills with a demonstrated ability to communicate data findings clearly to both technical and non-technical audiences
- Team player with the ability to collaborate effectively in a diverse environment
- AWS certification(s) in relevant services is a plus
You will get:
- Competitive remuneration package
- Referral bonus program
- 25 days of annual paid leave
- Additional health insurance (outpatient & hospital medical care, dental care, coverage of dioptric glasses, and more)
- Free Psychological Counselling via Green line and on the spot
- Newborn or newly adopted child bonus
- Food vouchers - 150 BGN/month
- Upskilling & reskilling training programs and e-learning hub
- Diverse career growth opportunities
- Recognition awards
- Sports cards (partially covered by the employer) and company sports initiatives
- Special company discounts
- Various social and charity initiatives
United by our passion for talent and technology, we look at the world differently. The future won’t wait, it’s time to make incredible happen. Are you ready?
Социални Придобивки
- health_and_safety iconДопълнително Здравно Осигуряване
- card_giftcardВаучери за Храна
- shopping_cartОтстъпки/Намаления в Търговски Обекти
- credit_cardБонусова Система
- schoolБезплатни Обучения/Курсове
- airport_shuttleБезплатен Служебен Транспорт
- sports_footballКарта за Спорт
- videogame_assetЗала за Почивки/Забавления
- groupsПартита/Тиймбилдинг
Средна заплата за сектора
4,320 лв / месец (изчислена от Yox)
Средна работна заплата за страната изчислена от YOX
500 лв / месец
13,500 лв / месец
Мнения и оценки от служители
Изследовател на данни/изследователка на данни
Изследователите на данни намират и тълкуват богати източници на данни, управляват големи количества данни, обединяват източници на данни, осигуряват съгласуваност на наборите от данни и създават визуализации за подпомагане на разбирането на данните. Те изграждат математически модели като използват данни, представят и съобщават констатациите и откритията за данни на специалисти и учени от техния екип и, ако е необходимо, на неспециализирана аудитория, и препоръчват начини за прилагане на данните.
Необходими основни умения
- съставяне на научни или академични документи и техническа документация
- нормализиране на данни
- управляване на изследователски данни
- използване на техники за обработване на данни
- тълкуване на текущи данни
- взаимодейства професионално в научноизследователска и професионална среда
Необходими основни знания
- проучване на данни
- техники за визуално представяне
- извличане на информация
- статистика
- категоризиране на информация
- език за описание на търсене на мрежови ресурси
Финален преглед
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