Data Engineer

21 hours ago


Ernakulam, India Cubet Full time

Job Title: Data Warehouse Engineer

Experience: 5+ years

Location: Infopark, Kochi

Why Join Us?

  • Innovative Environment
    : Join a forward-thinking company that encourages creativity and problem-solving.
  • Career Growth
    : Opportunities for professional development and career advancement.
  • Collaborative Culture
    : Work in a team-oriented environment where your contributions are valued.
  • Competitive Compensation
    : Attractive salary package and performance-based incentives.

Job Requirements

We are looking for a
Data Warehouse Engineer
with strong expertise in
Microsoft Fabric
to design, build, and maintain modern data solutions. The role involves developing semantic models, managing data warehouses, and enabling analytics through advanced data pipelines and reporting integrations.

Key Responsibilities

  • Design, create, and manage
    semantic models, data warehouses, dataflows, and lakehouses
    using Microsoft Fabric.
  • Develop and maintain
    ETL/ELT pipelines
    to process large and complex datasets.
  • Write efficient queries using
    SQL, DAX, KQL, and Power Query (M)
    .
  • Support and optimize
    Power BI dashboards
    and reporting solutions.
  • Implement
    data governance, security, and performance optimization
    best practices.
  • Collaborate with analysts, business stakeholders, and data scientists to deliver scalable solutions.
  • Use
    Python
    for automation, data transformations, and advanced analytics tasks.

Required Skills

  • Hands-on expertise with
    Microsoft Fabric
    (Lakehouses, Dataflows, Warehouses, Semantic Models).
  • Strong knowledge of
    SQL, DAX, KQL, Power Query (M)
    .
  • Proficiency in
    Python
    for data engineering workflows.
  • Experience with
    Power BI
    modeling and development.
  • Understanding of
    data architecture, data governance, and optimization
    techniques.

Preferred Skills

  • Experience with
    Azure Data Services
    (Synapse, Data Factory, Databricks).
  • Familiarity with
    CI/CD pipelines, DevOps for data solutions
    .
  • Exposure to
    machine learning integration
    with data workflows.
  • Knowledge of
    data security, compliance, and access control frameworks
    .

Soft Skills

  • Strong analytical and problem-solving mindset.
  • Ability to work independently and in cross-functional teams.
  • Excellent communication and stakeholder management skills.
  • Detail-oriented with a focus on data quality and accuracy.
  • Adaptability to new technologies and evolving project requirements.

Qualifications

  • Bachelor's or Master's degree in
    Computer Science, Information Technology, Data Engineering, or related field
    .
  • Minimum
    3–6 years
    of hands-on experience in
    data engineering and warehousing
    .
  • Proven expertise with
    Microsoft Fabric and Power BI ecosystems
    .

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