We are looking for experienced Data Engineers with strong hands-on experience in Python, PySpark, and Databricks to join our data engineering team.
Key Responsibilities
Design, develop, and maintain scalable data pipelines using Python and PySpark.
Develop and optimize data processing workflows on Databricks.
Work with large datasets and implement effective ETL/ELT processes.
Develop data transformation and integration solutions using PySpark.
Write clean, reusable, and optimized Python code.
Perform data validation, troubleshooting, and performance tuning.
Work with stakeholders to understand data requirements and deliver reliable solutions.
Monitor data pipelines and troubleshoot production issues.
Follow best practices for coding, testing, deployment, and documentation.
Collaborate with data engineers, architects, analysts,
and business teams.
Required Skills
8–10 years of overall experience in Data Engineering.
Strong hands-on experience in Python.
Strong experience with PySpark and distributed data processing.
Good experience working with Databricks.
Strong understanding of ETL/ELT concepts and data pipelines.
Positive knowledge of SQL and data manipulation.
Experience in performance tuning and optimization of Spark jobs.
Strong debugging and problem-solving skills.
Positive communication and collaboration skills.
Preferred Skills
Experience with Azure/AWS/GCP data services.
Knowledge of Delta Lake and Databricks workflows.
Experience with CI/CD and version control such as Git.
Understanding of data warehousing and cloud-based data platforms.
Candidate Details
Experience: 8–10 Years
Location: Bangalore
Interview: F2F
Date: 10th October
Primary Skills: Python, PySpark, Databricks
📌 Azure Data Engineer F In Bangalore 10 Oct Sat Permanent Bengaluru
🏢 JOBWORLD INDIA PRIVATE
📍 Bengaluru
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