Data Engineer

2 days ago

Stockholm, Stockholm, Sweden BlueRose Technologies Full time 90,000 - 120,000 per year

Position:
Data Engineer

Project Unit:
DNACMT

Location:
Stockholm, Sweden

Work Mode:
Hybrid (with possibility of WFO)

Number of Openings:
2

Experience Required:
5+ Years

Domain:
Telecom

Interview Mode:
Telephonic/Webex, followed by Face-to-Face interview (Infosys Office)

Job Description

We are looking for experienced and technically strong
Data Engineers
to join our team in
Stockholm, Sweden
for our client project under the DNACMT unit. The ideal candidate will have hands-on experience in data modeling, ETL/ELT processes, and building scalable data pipelines on cloud platforms.

Roles and Responsibilities

  • End-to-end
    development
    , including data modeling and pipeline building using
    dbt
    and
    Snowflake
    .
  • Work hands-on with
    Data on Cloud ETL stack
    , ensuring high performance and reliability.
  • Write efficient and optimized
    SQL
    for data extraction, transformation, and analysis.
  • Develop and maintain robust
    ETL/ELT processes
    and scalable data pipelines.
  • Collaborate with multi-disciplinary teams and engage with stakeholders for requirement analysis and delivery.
  • Perform
    analysis and performance tuning
    of data processes.
  • Work in
    Agile
    teams, ensuring timely and high-quality delivery.
  • Use
    DevOps
    practices,
    CI/CD
    , and
    GitHub
    for version control and deployment.
  • Contribute to
    cloud-based
    data engineering initiatives across
    AWS
    or
    Azure
    platforms.

Required Skills

  • Minimum
    5+ years
    of hands-on experience in
    Data Engineering
    .
  • Strong programming skills in
    Scala (preferred)
    ,
    Python
    , or
    PySpark
    .
  • Excellent command over
    SQL
    .
  • Proven experience in
    ETL/ELT processes
    and
    data pipeline development
    .
  • Familiarity with
    DevOps tools
    ,
    CI/CD
    , and
    GitHub
    .
  • Exposure to
    cloud platforms
    (AWS, Azure, or similar).
  • Strong communication and customer-facing skills.

Desired Skills

  • Experience with
    Qlik
    or
    Power BI
    for data visualization.
  • Knowledge of
    cloud technologies and services
    (AWS, Azure, PaaS, SaaS).
  • Familiarity with
    Agile methodologies
    and modern data development practices.

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