Description

You will build and maintain scalable data pipelines using Databricks and Spark.

This role is on-site.

Responsibilities

• Develop and maintain ETL/ELT pipelines using Apache Spark and PySpark on Databricks.
• Implement data quality checks, performance tuning, and scalable data models.
• Collaborate with teams to define data requirements and deliver analytical solutions.
• Monitor and troubleshoot data workflows to ensure accuracy.

Required Skills

• 5+ years of experience with Databricks, Apache Spark, and PySpark.
• Expertise in SQL and Python.
• Experience with data wrangling and visualization.
• Familiarity with Delta Lake and MLflow.
• Ability to interpret complex datasets and communicate insights.
• Strong analytical and problem-solving skills.

Preferred Skills

• Experience with advanced data analysis and reporting.

Key Skills

Education

Any Gradute