+

Вход

Въведи своя e-mail и парола за вход, ако вече имаш създаден профил в DEV.BG/Jobs

Забравена парола?
+

Създай своя профил в DEV.BG/Jobs

За да потвърдите, че не сте робот, моля отговорете на въпроса, като попълните празното поле:

2 x 34 =
+

Забравена парола

Въведи своя e-mail и ще ти изпратим твоята парола

Една от всички 264 обяви за Data Science в София

Виж всички
HR агенция Easy Consult
Data Engineer
ApplyКандидатствай
София - Data Science София 6 000 - 8 000лв. Toggle additional info Нетна заплата
Нетна заплата Нето сумата е заплатата, която получавате чисто, след всякакви данъци и удръжки.

Обявата е публикувана в следните минибордове

  • Anywhere
  • Съобщи за проблем с обявата

Съобщи за проблем с обявата

×

    Какво не е наред с обявата?*
    Моля опиши ни, къде е проблемът:
    За да потвърдите, че не сте робот, моля отговорете на въпроса, като попълните празното поле:

    For our client – a digital leader with more than 20 years of success and experience in the global market – we are seeking an experienced Data Engineer.

    Our client is a new generation digital transformation company in the sphere of software consulting that work with top-notch technologies, develop innovations beyond market trends, and share a passion for making things better. They put people first, so their teamwork is built on mutual respect and open communication. As a result, they enable everyone to be authentic, express ideas, and unleash potential. The company is a global leader with over 1,400 employees in 27 offices in 12 countries in Europe and North America.

    Your responsibilities:

    ● Own the company’s ETL processes and DWH

    ● Build E2E integrations and pipelines to and from our Data Lake and DWH. Model

    our DWH according to best practices and analytical requirements.

    ● Work closely with BI developers, analysts, product managers, and business

    owners from across the company to answer all their data needs

    We want you to have:

    ● 3+ years of direct experience with SQL (No-SQL is a plus), data modeling, data

    warehousing, and building ELT/ETL pipelines

    ● Experience working with at least one of the big data environments: Snowflake,

    Vertica, Hadoop (Impala/Hive), Redshift, etc

    ● Python / Java development experience

    ● Proven experience in monitoring and supporting production-grade data

    pipeline.

    ● Excellent verbal/written communication & data presentation skills

    Good to have:

    ● Experience with Rivery ETL platform

    ● Experience working with Kafka

    ● Experience with data visualization tools (Tableau/ Sisense/ Looker/ other)

    ● Bachelor’s degree in a relevant technical discipline

    Employment Conditions:

    • Excellent salary and an opportunity to grow within the company

    • Induction programs

    • Participation in all stages of the development process from architecture design to development using SCRUM methodology

    • Exchange experience by working in different teams of professionals

    • Recognition programs and rewards (Employee of the month gets 1 additional vacation day)

    • Free course in German

    • Coverage of certification program expenses

    • Company-sponsored events and team buildings

    • Participation in our social groups of interests: Extreme Sports, Geeks, Photography, etc.

    • Access to sports card

    • Additional Health insurance (after your probation period)

    • Nice and friendly atmosphere

    If this opportunity sounds appealing and fitting for you and your future career development, don’t hesitate and apply. Send us your CV in English and we will contact the shortlisted candidates as soon as possible.

    And if this job is not suitable for you, but you know a person who is a perfect match for the requirements listed, please share the link or recommend your friend.

    Our services are free of charge for candidates.

    All applications will be treated with strict confidentiality. Easy Consult Recruitment and Employment activities are based on a Recruitment license № 2339/ 30.08.2017.