Job Description
- Design, develop, and optimize ETL/ELT pipelines using PySpark and Python.
- Build scalable data flows from source systems to Data Lake environments.
- Develop and support data integration and transformation processes.
- Ensure data quality, performance, and reliability of data pipelines.
- Document technical solutions and maintain development standards.
- Collaborate with cross-functional teams in Agile Scrum environments.
- Participate in sprint planning, estimation, and delivery activities.
- Work with Azure DevOps, Jira, and Confluence for project execution.
- Strong experience in PySpark and Python.
- Solid background in Data Engineering.
- Hands-on experience with ETL/ELT design and development.
- Experience working with Data Lakes and large-scale data processing.
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- Strong SQL and data modeling skills.
- Experience in Agile/Scrum methodologies.
- Familiarity with Azure DevOps and/or Jira.
- Experience using Confluence for documentation.
- Excellent verbal and written communication skills.
- Experience with Palantir Foundry.
- Exposure to Databricks, Snowflake, Azure Data Factory, or similar platforms.
- Experience working with global or distributed teams.
Skills
PythonSQLData EngineeringPySparkSnowflakeDatabricksETLData ModelingAzureDevOpsJiraConfluenceAgileScrumCommunicationIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
Important dates & deadlines?
Application Deadline
29 Nov 26, 04:55 AM IST
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