Description

You will build and manage data pipelines and warehousing structures using Hadoop and cloud technologies.

Responsibilities

• Design efficient data models for data warehousing environments.
• Execute data ingestion, transformation, and data quality checks.
• Implement data security practices within the pipeline.
• Optimize Snowflake architecture, data manipulation, and queries.
• Develop scalable solutions using Java and Python.

Required Skills

• 10+ years of experience in data engineering.
• Strong proficiency in Python, Java, and SQL.
• Deep understanding of the Hadoop ecosystem, including HDFS, MapReduce, and Hive.
• Extensive experience with Spark.
• Expertise in Snowflake architecture and query optimization.
• Solid grasp of data engineering concepts and data modeling.
• Proven experience with cloud data warehousing.
• Bachelor's degree or equivalent graduate qualification.

Key Skills

Education

Any Gradute