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Data Engineer, Sr. Consultant

, NY, United States

Requirements

Cloud computing platforms: AWS/Azure/GCP

Programming languages: Python/Java/Scala & Unix Shell scripting

Data warehouse technologies: Redshift/Snowflake/Big Query

Data lake technologies: Hadoop, Apache Beam, Spark, and Hive

Orchestration: Airflow/Control-M/(Any Orchestration tool)

Machine learning frameworks: TensorFlow, PyTorch, and scikit-learn

Lead a team of data engineers in the design, development, and implementation of data engineering solutions.

Gather requirements from stakeholders and translate them into technical specifications.

Design and implement data pipelines to collect, transform, and load data into data warehouses and data lakes.

Maintain and optimize data systems to ensure high availability and performance.

Work with other engineering teams to integrate data engineering solutions with other systems.

Stay up to date on the latest data engineering technologies and trends.

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