Senior Software Engineer

7 days ago


Bengaluru, Karnataka, India Capgemini Full time ₹ 6,00,000 - ₹ 18,00,000 per year
Your Role
We are looking for the candidate who have yys of experience in Azure, Azure Databricks for Bangalore location.
Technical Skills:
  • Azure Databricks: Proficient in using Databricks for scalable data processing and analytics.
  • SQL: Strong command over SQL for querying, transforming, and managing relational databases.
  • ETL Processes: Hands-on experience in designing, developing, and maintaining robust ETL pipelines.
  • Data Warehousing (DWH): Solid understanding of data warehousing concepts, architecture, and tools.
Your Profile
Key Responsibilities:
  • Independently work on assigned user stories and development tasks.
  • Create, manage, and optimize Databricks notebooks for data transformation and analysis.
  • Develop and maintain ETL workflows ensuring performance and reliability.
  • Collaborate with cross-functional teams to ensure data quality, consistency, and integrity.
  • Participate in code reviews and contribute to continuous improvement of data engineering practices.
Soft Skills:
  • Self-driven with the ability to work independently and manage time effectively.
  • Strong analytical and problem-solving skills.
  • Good communication and collaboration skills to work effectively in a team environment.
Added Advantages (Nice to Have):
  • Talend: Familiarity with Talend for ETL development and orchestration.
  • Python: Working knowledge of Python for scripting, automation, and data manipulation.
  • PySpark: Experience with PySpark for distributed data processing on large datasets.
Key Responsibilities:
  • Independently work on assigned user stories and development tasks.
  • Create, manage, and optimize Databricks notebooks for data transformation and analysis.
  • Develop and maintain ETL workflows ensuring performance and reliability.
  • Collaborate with cross-functional teams to ensure data quality, consistency, and integrity.
  • Participate in code reviews and contribute to continuous improvement of data engineering practices.
Soft Skills:
  • Self-driven with the ability to work independently and manage time effectively.
  • Strong analytical and problem-solving skills.
  • Good communication and collaboration skills to work effectively in a team environment.
Added Advantages (Nice to Have):
  • Talend: Familiarity with Talend for ETL development and orchestration.
  • Python: Working knowledge of Python for scripting, automation, and data manipulation.
  • PySpark: Experience with PySpark for distributed data processing on large datasets.



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