
nttdata · Consultant
Responsibilities:
Design and implement end-to-end data pipelines using Python and PySpark to ensure efficient data processing.
Utilize Databricks for data engineering tasks, optimizing performance and scalability.
Troubleshoot and resolve pipeline issues in Databricks, ensuring minimal downtime and data integrity.
Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
Monitor and maintain data pipeline performance, making improvements as necessary.
Qualifications:
Proficiency in Python and PySpark for data manipulation and analysis.
Experience with Databricks for building and managing data pipelines.
Strong problem-solving skills, particularly in troubleshooting data pipeline issues.
Familiarity with data warehousing concepts and ETL processes.
Excellent communication skills for effective collaboration with cross-functional teams.
Data Modeling
ETL Processes
SQL
Big Data Technologies
Data Warehousing
Python
Apache Spark
Cloud Computing

IT Services and IT Consulting·5,001+ employees
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