Data Engineer

Location: Bengaluru

Job Title:

Senior Data Engineer

Location:

India - Banglaore
Company:
Cloud Raptor

Mandatory Skills
Azure Data Factory,SQL Server,Power BI,Azure data fac
Skill to Evaluate
Azure Data Factory,SQL Server,Power BI,Azure data fac
Experience
8 to 10 Years
Location
Bengaluru

Job Description

We are looking for a highly skilled  Data Engineer  with a strong background in designing, building, and maintaining scalable data pipelines and business intelligence solutions. The ideal candidate should have a solid mix of hands-on experience in  Azure cloud services ,  SQL development ,  data integration , and  reporting tools  to support data-driven decision-making across the organization.

Education Qualificaiton
Bachelors or Engineering Degree (Computer science)

Roles & Responsibilities

Key Responsibilities:

Design, develop, and manage end-to-end data pipelines using  Azure Data Factory (ADF)  for efficient ETL/ELT processes.
Develop, deploy, and monitor scalable data solutions using  Azure Synapse Analytics  /  Databricks  /  Microsoft   Fabric  to support large-scale data processing and analytics.
Write optimized  SQL Server  scripts, stored procedures, and views to support data transformation and integration requirements.
Build and maintain insightful dashboards and reports using  Power BI , with a focus on usability, performance, and clear data communication.
Develop automation scripts using  Power Shell  for operational and monitoring tasks across Azure services.
Create automated workflows using  Power Automate  to streamline manual tasks and notifications.

· Leverage  Python / PySpark  for data manipulation, transformation, and orchestration within Synapse or Databricks environments.
Collaborate with business stakeholders, data analysts, and application developers to gather requirements and deliver high-quality solutions.
Perform root cause analysis, data validation, and ensure data integrity across systems and processes.
Participate in code reviews, design discussions, and documentation efforts to ensure best practices and knowledge sharing.
Ensure security, compliance, and governance in all data engineering activities.

Required Skills and Qualifications:

8-12 years  of experience in data engineering, data analytics, or business intelligence roles.
Strong proficiency  in  Azure Data Factory ,  SQL Server , and  Power BI .
2+ years of hands-on experience  with  Azure Synapse Analytics  or  Fabric  and  Python  for data transformation and analysis.

Experience with  Power Shell scripting  for automation and  Power Automate  for workflow integration.
Strong understanding of data warehousing concepts, data modelling, and performance tuning.
Excellent analytical and problem-solving abilities.
Strong communication skills and ability to effectively engage with both technical and non-technical stakeholders.

Preferred Qualifications (Nice to Have):

Experience with  Azure Data Lake Storage (ADLS)  and  Delta Lake .
Knowledge of  Dev Ops ,  CI/CD pipelines , and  version control systems  (e.g., Git).
Familiarity with  data governance ,  security best practices , and  compliance standards .
Exposure to  Agile methodologies  and working in cross-functional teams.

Project Details

We are looking for a highly skilled  Data Engineer  with a strong background in designing, building, and maintaining scalable data pipelines and business intelligence solutions. The ideal candidate should have a solid mix of hands-on experience in  Azure cloud services ,  SQL development ,  data integration , and  reporting tools  to support data-driven decision-making across the organization.