Description

Manage big data processing and data warehousing within Google Cloud. Own the release and maintenance of analytical pipelines.

Responsibilities

• Build and maintain big data processing pipelines using Apache Spark.
• Manage data warehousing and analytics workflows using BigQuery.
• Write complex SQL queries for data manipulation and analysis.
• Solve analytical problems with high autonomy and minimal support.

Required Skills

• 4+ years of experience in data engineering.
• Proven experience with Apache Spark, including Spark SQL, DataFrames, and Datasets.
• Expertise in Python, Scala, or PySpark.
• Mandatory experience with Google Cloud Platform (GCP).
• Strong proficiency in SQL and BigQuery (BQ).
• Solid understanding of distributed systems concepts.

Preferred Skills

• GCP Cloud certification.
• Experience with REST or GraphQL schemas.
• Knowledge of AI/ML.

Key Skills

Education

Any Graduate