+

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:

9 - 59 =
+

Забравена парола

Въведи своя e-mail и ще ти изпратим твоята парола

Една от всички 82 обяви за BI/Data visualization в София

Виж всички

Senior Data Engineer (Tech Lead)

Xoomworks | дистанционно
Remote
Тази позиция позволява отдалечена работа
8 юни
Обявата е публикувана в следните минибордове
  • Sofia, Bulgaria
  • 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:

    The role

    If you are someone with experience experience across services and data product development, have growth mentality and love solving sophisticated and meaningful problems, come join us on this exciting worldwide data journey!

    The role is a phenomenal opportunity to work on a team that will streamline data products, from streaming data to consumption for our B2B brands. 

    You will succeed in this role by applying your software development and data engineering practices, business intelligence, analytics, and an excellent communication background. You’ll have the opportunity to take it to the next level, continue growing, not only as a technologist but also as a people leader, while doing what you are most passionate and proud. 

    You will be responsible for:

    • Leading a robust multi-functional team of data engineers and BI developers, working across traditional and cloud-based data environments.
    • The technology direction and standards for the BI team, supporting and be supported by your team and peers.
    • Defining and communicate high engineering standards and development practices, ensuring design and architecture consistency.
    • Applying the right engineering practices when managing a large amount of data in real-time and batch.
    • Crafting data models for fast performance data queries, ETLs, and APIs used to power front end BI solutions.
    • Promoting collaboration and guide the execution of team initiatives or components of larger, cross-team projects from start to finish.
    • Seeking opportunities to bring sophisticated analytical techniques and solutions to the data space.
    • Providing architect and design solutions, ensuring clear documentation, and a high level of communication.
    • Promoting excellence and forward-thinking engineering, using technical writing to expose your team to a broader technical population inside and outside our client’s team.

    The successful candidate will need to have: 

    • Proven record of people management, coaching, and mentoring.
    • You have demonstrated a good record of managing and exposing data at scale.
    • Hands-on coding with strong experience in key software languages (e.g., Python, Scala, Java) and one or more BI tools (e.g. Tableau, Looker)
    • Experience working and transforming event stream data in near-real- time. You know dimensional modeling concepts and other efficient data representations for optimizing SQL queries as well as how to craft data-models, normalized, and un-normalized data structures for fast query performance.
    • Proven background in a variety of data technologies, such as Spark, Hive, Presto, and/or ETL frameworks.
    • Deeply understand SQL and all its facets but also have experience working with cloud-based data-warehouse (e.g.Snowflake).
    • You have excellent interpersonal skills and verbal and written communication skills when working with both business and technical teams.
    • Shown expertise in high code quality, automated testing, and engineering principles.
    • AWS services and architecture experience demonstrated by the use of native cloud solutions (e.g., S3, EMR, DynamoDB, Elasticsearch, Redis, Lambda, and Containers).
    • Strong analytical/business modeling skills with the ability to convert raw data into impactful reporting and scalable data architectures. 

    We can’t wait to meet you!

    Кандидатствай