Azure Data Engineer

4 days ago


Jaipur, Rajasthan, India KainSkep Full time ₹ 6,00,000 - ₹ 18,00,000 per year

Our Culture & Values:

We'd describe our culture as human, friendly, engaging, supportive, agile, and super collaborative.

At
Kainskep Solutions
, our five values underpin everything we do—from the way we work to how we delight and deliver to our customers.

Our values are:

#TeamMember #Ownership #Innovation #Challenge #Collaboration

What makes a great team? A diverse
team

Don't be put off if you don't tick all the boxes—we know from research that candidates often hesitate to apply unless they feel 100% ready. What truly matters is your ability to engage clients, build effective relationships, and bring a passion for learning. If that sounds like you, we'd love to talk.

We're committed to creating a diverse and inclusive culture where everyone feels empowered to do their best work.

Key Responsibilities:

  • Architect, design, and implement end-to-end
    data engineering solutions
    within the
    Azure ecosystem
    .
  • Build and maintain
    ETL pipelines
    using
    Azure Data Factory
    , ensuring data quality and seamless integration with
    Azure Data Lake Storage Gen2
    and
    Microsoft Fabric (OneLake, Lakehouse, Data Pipelines)
    .
  • Develop and optimize complex
    stored procedures
    and
    data transformations
    in
    Azure Synapse Analytics
    and
    Azure Databricks
    .
  • Work with
    Delta Lake
    for managing structured and semi-structured data.
  • Implement
    data models
    ,
    data warehouses
    , and
    data integration frameworks
    to enable analytics at scale.
  • Collaborate cross-functionally with analysts, data scientists, and business stakeholders to deliver actionable insights.
  • Ensure
    data governance
    ,
    data quality
    , and
    security compliance
    across the data lifecycle.
  • Automate deployments and monitoring using
    Azure DevOps
    ,
    PowerShell
    , and CI/CD pipelines.
  • Continuously improve performance, scalability, and cost-efficiency across Azure workloads.
  • Troubleshoot and resolve complex issues in production and development environments.

Requirements:

  • Experience:
    1–3 years of hands-on experience designing and implementing data engineering solutions in the Azure ecosystem.
  • Technical Skills:
  • Strong proficiency in Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Azure Databricks
    , and
    Microsoft Fabric
    .
  • Excellent command over
    SQL (mandatory)
    ,
    PLSQL
    ,
    Python
    , and familiarity with
    Scala
    .
  • Hands-on experience with
    data modelling
    ,
    data warehousing
    , and
    data integration
    concepts.
  • Good understanding of
    Apache Spark
    ,
    Hadoop
    , and
    big data frameworks
    .
  • Working knowledge of
    DevOps
    ,
    PowerShell
    , and automation tools for deployment and monitoring.
  • Experience with
    data governance
    ,
    data quality
    , and
    security best practices
    .
  • Education:
    Bachelor's degree in Computer Science, Engineering, or a related field
  • Certifications:
    Azure Data Engineer Associate or Azure Solutions Architect Expert preferred.

Why Kainskep Solutions?

At
Kainskep Solutions
, we support flexible working arrangements that help you balance your work, your life, and your passions.

We offer a competitive remuneration package with benefits that support your lifestyle choices, along with opportunities to participate in Kainskep Solutions' success story.

Our rapidly expanding environment encourages
continuous improvement, innovation, and career growth
.

Our collaborative and inclusive culture is one we're immensely proud of. We know that a diverse workforce is a strength that enables us—and our clients—to better understand and serve people globally.

From the moment you join us, you'll feel welcomed, valued, and supported to do the best work of your life.


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