Technical Lead - Azure Databricks - Senior System Analyst

Winfo Solutions

Telangana

On-site

INR 1,500,000 - 2,500,000

Full time

14 days+
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Job summary

Winfo Solutions is seeking an experienced Technical Lead specializing in Azure Databricks to design data engineering solutions. The ideal candidate will build scalable data pipelines and guide a team to deliver successful data projects. Responsibilities include leading the engineering team, optimizing ETL processes, and collaborating with stakeholders. Strong experience in Azure tools, such as Azure Data Factory and PySpark, is essential. The position is located in Telangana, India.

Qualifications

  • Strong experience in Azure Databricks.
  • Hands-on experience with Azure Data Factory (ADF), ADLS, Azure SQL.
  • Good knowledge of PySpark / Spark / SQL.

Responsibilities

  • Design and develop data pipelines using Azure Databricks.
  • Lead and mentor data engineering team members.
  • Work with stakeholders to understand business requirements.
  • Ensure high performance, scalability, and reliability of data solutions.
  • Optimize ETL/ELT processes and data workflows.

Skills

Azure Databricks
Azure Data Factory (ADF)
PySpark
SQL
Leadership skills

Tools

Power BI

Job description

Job Summary

We are looking for an experienced Technical Lead with strong expertise in Azure Databricks to design and lead data engineering solutions. The candidate will be responsible for building scalable data pipelines, guiding the team, and ensuring successful delivery of data projects.

Key Responsibilities
  • Design and develop data pipelines using Azure Databricks
  • Lead and mentor data engineering team members
  • Work with stakeholders to understand business requirements
  • Ensure high performance, scalability, and reliability of data solutions
  • Optimize ETL/ELT processes and data workflows
  • Collaborate with architects and cross-functional teams
  • Review code and ensure best practices are followed
Required Skills
  • Strong experience in Azure Databricks
  • Hands-on experience with Azure Data Factory (ADF), ADLS, Azure SQL
  • Good knowledge of PySpark / Spark / SQL
  • Experience in data warehousing and ETL/ELT processes
  • Strong problem-solving and leadership skills
Preferred Skills
  • Experience with Power BI or reporting tools
  • Knowledge of CI/CD and DevOps practices
  • Azure certifications (DP-203, AZ-900, etc.)
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