Description

You will design, develop, and implement scalable data pipelines and architectures.

Responsibilities

  • Design and implement reliable data pipelines and architectures.
  • Build and maintain data warehouses and data marts.
  • Collaborate with data scientists and analysts to develop data solutions.
  • Optimize pipeline performance and efficiency.
  • Implement data security and governance measures while monitoring systems for troubleshooting.

Required Skills

  • 8+ years of experience in a data engineering role.
  • Expertise in SQL and Python.
  • Experience with cloud platforms including AWS, Azure, or GCP.
  • Hands-on experience with big data technologies like Hadoop, Spark, and Kafka.
  • Proficiency with data warehousing tools such as Snowflake, Redshift, or BigQuery.
  • Knowledge of data security and governance best practices.
  • Strong analytical and problem-solving skills.

Preferred Skills

  • Experience with machine learning and deep learning.
  • Experience with data visualization tools like Tableau or Power BI.
  • Experience with data streaming technologies including Kafka and Flink.

Key Skills
Education

Any Graduate

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