4,700
Работа Data Warehouse Developer
70 нови обяви за работа
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Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, provide digital marketing...
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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
Company Description
Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters.
Job Description
Our data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling.
Responsibilities:
· Develop the architecture for the data pipelines and implement it using Python · Actively involved in onboarding data sources through data pipelines - ingestion, transformations, data storing, and orchestration of the pipelines · Identify, document, and develop measures to visualize and record source data and data pipeline quality objectives · Experience with data migration projects between systems hosted in different hosting environments (on-premises, AWS, Azure, etc.) · Contribute to agile ceremonies, size tasks and deliverables.
Qualifications
· Hands on experience in designing and developing data pipelines and managing data infrastructure · Proficiency in Python (pandas, PySpark) · Background and experience with tools and technologies like Databricks, Glue, Athena, Snowflake, Synapse, Redshift, BigQuery, Apache Spark, Kimball Data Mart, etc, · Experience with various Azure services for data processing and storage · Understanding of Extract Transform Load (ETL) processes as well as platform monitoring and CI/CD processes · Knowledge of one or more RDBMS (SQL Server, Oracle, DB2) · Experience with IaC tools will be an advantage · Open to working in an agile environment as part of a scrum team · Good communication and mentoring skills.
Additional Information
Discover some of the global benefits that empower our people to become the best version of themselves:
· Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; · Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; · Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; · Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; · Health: Global internal wellbeing programme, access to wellbeing apps; · Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.
Our diversity makes us stronger - it drives meaningful change and enables us to build innovative technology solutions. We are committed to creating an inclusive community where all of us, regardless of background, identity, or personal characteristics, feels valued, respected, and free from discrimination. As an equal opportunity employer, we welcome applications from all individuals and base hiring decisions on merit, skills, qualifications, and potential.
Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters.
Job Description
Our data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling.
Responsibilities:
· Develop the architecture for the data pipelines and implement it using Python · Actively involved in onboarding data sources through data pipelines - ingestion, transformations, data storing, and orchestration of the pipelines · Identify, document, and develop measures to visualize and record source data and data pipeline quality objectives · Experience with data migration projects between systems hosted in different hosting environments (on-premises, AWS, Azure, etc.) · Contribute to agile ceremonies, size tasks and deliverables.
Qualifications
· Hands on experience in designing and developing data pipelines and managing data infrastructure · Proficiency in Python (pandas, PySpark) · Background and experience with tools and technologies like Databricks, Glue, Athena, Snowflake, Synapse, Redshift, BigQuery, Apache Spark, Kimball Data Mart, etc, · Experience with various Azure services for data processing and storage · Understanding of Extract Transform Load (ETL) processes as well as platform monitoring and CI/CD processes · Knowledge of one or more RDBMS (SQL Server, Oracle, DB2) · Experience with IaC tools will be an advantage · Open to working in an agile environment as part of a scrum team · Good communication and mentoring skills.
Additional Information
Discover some of the global benefits that empower our people to become the best version of themselves:
· Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; · Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; · Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; · Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; · Health: Global internal wellbeing programme, access to wellbeing apps; · Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.
Our diversity makes us stronger - it drives meaningful change and enables us to build innovative technology solutions. We are committed to creating an inclusive community where all of us, regardless of background, identity, or personal characteristics, feels valued, respected, and free from discrimination. As an equal opportunity employer, we welcome applications from all individuals and base hiring decisions on merit, skills, qualifications, and potential.
Средна заплата за сектора
4,700 лв / месец (изчислена от Yox)
Средна работна заплата за града изчислена от YOX
минимална
500 лв / месец
максимална
13,500 лв / месец
Мнения и оценки от служители
3.6
Добра 
3.9
3.1
3.1
3.9
4.0
4.2
3.4
2.6
4.7
4.0
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
Увери се, че информацията е точна и ако всичко е наред натисни „Изпрати“ и твоята кандидатура отива незабавно за преглед в .
Вие се съгласявате с общите условия на Yox. При натискане на кандидатствай: 1) вие се съгласявате с общите условия на Yox, Политиката за Поверителност и Политиката на използване на бисквитките. Съгласявате се и разрешавате вашето резюме да може да бъде изпратено към работодателя (не е гарантирано получаване) и да продължи да се обработва и анализира съгласно нашите условия и политики. Натискайки „Изпрати“се съгласяваш с на Yox.bg
Честито, вашето резюме беше изпратено успешно!
При интерес от работодателя очаквайте връзка на посочените от вас контакти.