Data Engineer Consultant

Data Engineer Consultant (326472)

Apply emerging technologies to help our clients maximize the value of their data by generating actionable insights that provide real business outcomes.
Project experience through all phases of the project lifecycle from strategy and advisory, scoping and planning, requirements gathering, design, development, testing, training and deployment.
Conduct data analysis to identify insights and trends.
Develop and deploy machine learning models.
Collaborate with data engineers to ensure data availability and quality.
Provide recommendations for AI strategy and implementation.
Stay updated on the latest AI and data science developments.
Assist clients in understanding and interpreting AI and data-driven insights.
Troubleshoot and debug AI algorithms as needed.
Document and communicate project progress and results to clients.

A Bachelor's Degree in Computer Science, Software Engineering, Statistics, Mathematics, or related disciplines from a reputable university.
3 - 5 years of relevant experience as a Data Engineer or in relevant roles.
Good command of written and spoken English.
Drive, tenacity, client focused and results oriented.
Excellent communication and presentation skills.
Experience with databases (SQL server and NoSQL)
Programming languages: Python/Java/Scala & Unix Shell scripting
Data warehouse technologies: Redshift/Snowflake/BigQuery
Data lake technologies: Hadoop, Spark, and Hive
Orchestration: Airflow/Control-M/(Any Orchestration tool)
Experience working with Agile software engineering tools and applying Agile methodologies in a pragmatic manner.
Experience with Azure Data Factory, Azure Synapse, AWS glue, Redshift, BigQuery, Dataproc, Snowflake, Databricks, etc.