Data Analyst

Data Analyst

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

  or

  Databricks

  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

  PowerShell

  for operational and monitoring tasks across Azure services.
• Create automated workflows using

  Power Automate

  to streamline manual tasks and notifications.
• Leverage

  Python or 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:

• 68 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

  Databricks

  and

  Python

  for data transformation and analysis.
• Experience with

  PowerShell 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

  DevOps

  ,

  CI/CD pipelines

  , and

  version control systems

  (e.g., Git).
• Familiarity with

  data governance

  ,

  security best practices

  , and

  compliance standards

  (e.g., GDPR, HIPAA).
• Exposure to

  Agile methodologies

  and working in cross-functional teams.

INTERESTED CANDIDATE SHARE THE RESUME FOR THE BELOW MAIL ID - divya_pi@trigent.com