Senior Data Engineer

6 days ago

Ahmedabad, Gujarat, India NowWiN International Full time

Job Title: Senior Data Engineer


Location:
Indore / Ahmedabad (India)


Experience:
7+ years


Type:
Full-time / Contract


Joining:
Immediate preferred

About the Role

We are looking for an experienced
Lead Data Engineer
to design, build, and maintain scalable
data pipelines and ETL workflows
using
Azure Data Factory (ADF)
,
Databricks
, and
Power BI / Fabric
.

You'll collaborate with analysts, architects, and business stakeholders to deliver end-to-end data solutions that enable data-driven decision-making. This role requires strong technical expertise, cloud data engineering skills, and the ability to mentor junior team members.

Key Responsibilities

  • Develop and maintain
    data pipelines
    using
    Azure Data Factory (ADF)
    and
    Databricks
    .
  • Design and implement
    Power BI / Fabric dashboards
    for actionable insights.
  • Collaborate with cross-functional teams to understand requirements and deliver solutions.
  • Perform
    ETL operations
    — extract, transform, and load data into Azure Data Lake or Azure SQL.
  • Ensure
    data quality, reliability, and integrity
    throughout the data lifecycle.
  • Automate repetitive data processes for efficient reporting.
  • Monitor, troubleshoot, and optimize data pipelines for performance and scalability.
  • Write
    clean, maintainable code
    for data transformations and automation.

Required Qualifications

  • Bachelor's degree
    in Computer Science, IT, or related field.
  • 7+ years
    of experience in Data Engineering, BI Development, or a related field.
  • Hands-on experience with
    Azure Data Factory (ADF)
    and
    Power BI
    .
  • Strong SQL skills and experience with
    Azure SQL Database / SQL Server
    .
  • Proficiency in
    Python, SQL, or equivalent scripting languages
    .
  • Knowledge of
    data warehousing concepts and ETL processes
    .
  • Experience working with
    cloud-based data platforms
    (preferably Microsoft Azure).
  • Strong analytical, troubleshooting, and optimization skills.

Preferred Qualifications

  • Experience with
    Azure Databricks
    or similar data processing frameworks.
  • Knowledge of
    Microsoft Fabric
    and
    data modeling for Power BI
    .
  • Familiarity with
    data lake architecture
    and performance tuning.

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